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ENCYLOPEDIC INTELLIGENCE PLATFORM:ENCYLOPEDIC INTELLIGENCE PLATFORM:
Ontology of EverythingOntology of Everything
World Knowledge GraphWorld Knowledge Graph
Smart Web SearchSmart Web Search
Internet of EverythingInternet of Everything
Intelligent CitiesIntelligent Cities
Smart WorldSmart World
byby ОООООО ""Энциклопедические Интеллектуальные СистемыЭнциклопедические Интеллектуальные Системы“/EIS Encyclopedic Intelligent“/EIS Encyclopedic Intelligent
Systems Ltd (Moscow/Russia, Skolkovo Innovation Center )Systems Ltd (Moscow/Russia, Skolkovo Innovation Center )
Azamat Sh. AbdoullaevAzamat Sh. Abdoullaev
Put the world in your head,
Place the universe into your machines
ENCYCLOPEDIC INTELLIGENCE vs.
ARTIFICIAL INTELLIGENCE
• Encyclopedic Intelligence, EA, is overriding Artificial Intelligence, AI, as the power of a digital computer or
computer-controlled robot to perform the intellectual processes, characteristic of humans, such as intelligence,
brain, mind and intellect, cognition and reasoning, discoverying meaning, natural language understanding,
deduction and induction, planning, gaming, and learning from experience. Such an unobjective approach, a
cognition is always an immanent act of the mind, was a key reason of missing high expectations, seen from the
current listing of AI specialized projects in brain simulation, cognitive architectures, games, knowledge and
reasoning, natural language processing, planning, software libraries of data mining and intelligence algorithms,
cloud computing, and robotics, motion and manipulation.
http://sourceforge.net/directory/os:windows/freshness:recently-updated/?q=artificial+intelligence
• As a mind-centered example of the EIA paradigm, it could be mentioned Grand Challenge 5 – Architecture of
Brain and Mind, a UK attempt to understand and model natural intelligence at various levels of abstraction,
being embodied in a succession of robots.
• As a world-centered example of the EIA approach, it could be mentioned
Synthetic Environment for Analysis and Simulations (SEAS), a model of the real world used by
Homeland security and the United States Department of Defense that uses simulation and AI to predict and
evaluate future events and courses of action.
• EI is to pursue building AI, reasoning systems and thinking technologies, as well as intelligent global
communities and smart cities, but on a scientific objective paradigm, modeling the world of entities and
relations, where understanding, establishing or predicting all possible relationships among things make the core
of real intelligence. http://www.sciencecentral.com/site/4538138
GLOBAL SUSTAINABILITY: SMART WORLD or
SMARTER PLANET
• The Encyclopedic Intelligence Platform contributes to the most life-critical human issue of global
sustainability enabling the transformation of the Big Data World into the Big Knowledge World of Intelligent
Communities, presented as a Smart World of the Future.
• As such, it forms the base for such world-scale AI projects as the IBM Smarter planet, turning information
into insights by advanced analytics and infusing intelligence into the world’s systems and processes, as cars,
appliances, roadways, power grids, clothes, natural systems, as agriculture and waterways, and global supply
chain, improving government operations, public safety systems, healthcare, energy flow and traffic
management.
• Demographic, environmental, economic, political, and socio-cultural factors are forcing the future world to
become more efficient, rational, dynamic, intelligent, technological, and self-sustaining, or smart and
sustainable.
• The 21st century necessitates the wholly new development principles, policies, processes, and objectives:
sustainable world strategies, comprehensive planning, integrated models, and globally effective solutions,
casting away the old world-systems models as dividing the world into core zones, specialized in information,
finance, service, or high-technology industries, transitory semi-periphery countries and undeveloped periphery
zones.
• The sustainable world system is expected to synergistically driven by natural capital, social capital, technological
and digital capital, like as the Global Internet/Web of Things, Knowledge and Social Intelligence and
Renewable Energy Sources. Such a New World is emerging as a Smart World, converging the Cyber, Social, and
Physical Domains.
WORLD-WIDE DINAMIC FRAMEWORK, TOTAL
ONTOLOGY, OR GLOBAL SCHEMAS OF THINGS
• A global ontology of the world, the world reference system, is about primary entities and relationships of the world. It provides a
comprehensive, consistent, converging and merging holistic dynamic framework, for all specific frameworks and schemas, theories
and models, systems and strategies, standards and structures, rules and policies, procedures and processes, representations and
belief, of all knowledge domains, disciplines, sciences and technologies.
• Thus the scope and range of applications for the world system is vitually unlimited, from physical ontology to geo ontology, gene
ontology to biomedical ontology to social ontology, from connecting data across the net to a global earth platform, from internet
of things to semantic web, from smart applications to smart cities, etc.
• The Encyclopedic Intelligence Platform integrates the upper, top-level or foundation ontology, ontology systems of reference
concepts, relations and semantic primitives, to be used for semantic interoperability, annotation, indexing, and retrieval, web-scale
semantic data exchange, federation, and inferencing.
• It is the knowledge base for such large-scale AI projects as CYC, lacking fundamental world ontology, but attempting to create a
comprehensive ontology and knowledge base of everyday common sense knowledge to enable AI applications with human-like
reasoning capacities.
• Nowadays, “ontology” is widely used to mean almost everything: controlled vocabularies, glossaries & data dictionaries, thesauri &
taxonomies, schemas & data models, domain models, formal ontologies, rule inference systems, and what not.
• We proposed to think of Global Ontology of the World as putting the universe in the human heads, in the way of general
intelligence. Hence the formal global ontology is putting the world in the computing machines, the internet, and the World Wide
Web, thus structuring the whole digital world and bridging it with the physical counterpart.
• We developed an integrated schema of the world, its things, concepts, knowledge and data:
• Integrated World Ontology = Global Ontology + Domain Ontologies + Knowledge Domains + Big Data + Statistics
• The world representation is distributed between a central ontology (maintaining a global schema, general semantics, and common
interoperability framework), multiple regional ontologies with own local schemas and specific information sources and knowledge
domains.
• In the Reality book (Reality, Universal Ontology and Knowledge Systems, IGI Global, 2008), it’s proved that the Global Ontology
not just a matter of feasibility or worth, but an ultimate object of quest for fundamental knowledge, and a must for world-wide
intelligent networks, disruptive intelligent systems and smart territory applications.
BIG SCIENCE, or TOTAL WORLD
KNOWLEDGE
• The Encyclopedic Intelligence Platform is critical for the Big Science projects, as the Large Hadron Collider,
the Human Genome Project, the Internet of Things, Intelligent Cities, etc.
• Totalizing Science, Technology, Arts and Philosophy, the EIS Big Science of Big Data allows intelligent agents,
humans and machines, to meaningfully process an ocean of information to be turned into insights, patterns,
trends, predictions, business models, discoveries, innovations, new knowledge, and wisdom.
• The Total Science meets the need of for a New Multi-Level Complex Systems Science dealing with our
complex world of strongly connected, techno-social-economic ecosystems.
• As such, it is the knowledge platform for the multi-billion EU Big Science Multi-Disciplinary Project,
integrating many different research areas, as ICT, Complexity Science and the Social Sciences, to combine the
best of all relevant knowledge as the Knowledge Accelerator.
• The EIS Platform underlies a global ICT Participatory Living Earth Platform, a simulation, visualization and
participation platform to support decision-making of policy-makers, business people and citizens, 1 bn EU
FuturICT project aimed to understand and manage complex, global, socially interactive systems, focusing on
sustainability and resilience. As the research priorities and applications, it is planning smart cities (as more than
50% of the world population is now living in cities), smart energy systems (as micro-generation of electrical
power will increase the number of independent energy providers multiple times), smart health systems (to
ensure a high quality of life in an ageing society at affordable costs), and better financial architectures (to
reduce the related societal losses). FutureICT. Global Computing for our Complex World.
http://www.futurict.eu/
SMART WEB, TOTAL WWW, or X.0 Web
• The Encyclopedic Intelligence Platform essentially enriches the schema simulations, markup schemas, a hierarchy of basic types
and properties, for advanced search engines of Bing, Google, Yahoo! and Yandex. For “the type hierarchy presented on this site is
not intended to be a 'global ontology' of the world. It only covers the types of entities for which we (Microsoft, Yahoo! and
Google), think we can provide some special treatment for, through our search engine, in the near future.”
http://www.schema.org/docs/datamodel.html
The Encyclopedic Intelligence Platform underpins both the Web 2.0 collaborative tagging, social classification, social indexing,
social tagging, or folksonomy, and the semantic web standard vocabularies and web ontologies for data integration, knowledge
organization and reasoning as RDF and RDF Schemas, Simple Knowledge Organization System (SKOS),
Web Ontology Language (OWL), and the Rule Interchange Format (RIF).
• It makes a core for the Linked Open Data (LOD) seeking to connect distributed data across the cybernet, with the LOD cloud
aiming to enable people to build “mash-ups” by combining data from multiple sources.
• The X.0 Web, the Web of Everything, is characterized by the hierarchical structure anchored in the real world environment via the
global ontologyl groundwork for the semantic web stack, see Fig.1, as below:
• <Global Intelligent Cyberspace, Total Web> :: = <Ontological Framework, WDF, or RMF> <Semiotics> <the World Wide Web,
or the Syntactic Web>
• <Ontological Framework> :: = <Unified Framework Ontology, Ontopaedia> <Upper Level Ontologies> <Domain
Ontologies>
• <Semiotics> :: = <Pragmatics> <Semantics> <Syntax>
• <Pragmatics> :: = <Users> <Web Agents> <Intentions> <Actions> <Communication> <Proof> <Trust> <Truth>
• <Semantics> :: = <Signs, Data Type, Natural Language Expressions> < Constructs> <Meanings>
• <Syntax> :: = <Logical Framework> <Rules> <OWL Ontology> <RDF Schema> <RDF M&S>< RDF> <XML/SGML>
<Namespaces>
• <the Web> ::= <Resources, Representation, Identification, URI, Unicode> <Interaction, Software Agents, Hypertext links,
Protocols, HTTP> <Formats, HTML, XHTML>
GLOBAL KNOWLEDGE GRAPH or
Google’s KNOWLEDGE GRAPH
• The Encyclopedic Intelligence Platform, with its conceptual core of Global Knowledge Graph,
makes the substance for Google’s Knowledge Graph of interconnected entities and their
attributes, using the entity-relationship database model.
• Tapping on Wikipedia, Freebase and CIA World Factbooks, it is currently containing more than
500 million people, places and things that have about 3.5 billion attributes.
• The graph presents an encyclopedia with structured information obtained from the web to help
understanding queries, provide answers to complex questions and find more relevant results.
• It capitalizes on FreeBase, a community-built online collection of databases, an open database of
the world's knowledge, a massive, collaboratively edited database of cross-linked data, and where
an interface affords to fill in information structured with metadata, and to categorize or connect
data items in meaningful ways.
• Thus Google makes a paradigm shift from the word-matching query to search by things
themselves, where the AI-like intelligence consists in understanding the relationships among
things.
INDUSTRIAL INTELLIGENT PLATFORMS:
Siemens, Oracle, GE, IBM, Google, etc.
• The EIS Platform underlies the Siemens Intelligence Platform designed for organisations related to • Law
Enforcement; • Government; • Other investigative organisations, and aming for data integration.
• It underlies the GE Platform of Industrial Big Data Analytics to bring meaning and context, insights and value,
patterns and trends, improving operational and financial performance of real-time operations systems.
• The EIS Platform supports the Oracle iGovernment technology platform for innovative, integrated, and
intelligent operations, to integrate across agencies and all levels of government, to modernize the IT
infrastructure, to increase efficiency and transparency, to deliver shared services, streamline and automate
policy and processes, ensure the integrity of operations, providing a common service delivery for government
functions, from human services to public safety to economic development.
• The EIS Platform is fundamental to the IBM Platform for Search, Discovery and Navigation of Big Data
involving information integration and governance, Hadoop system, stream computing and data warehouse, big
data connectors (web, web 2.0, email, file systems, large data bases, feeds), search engine with text analytics and
metadata and application framework.
• The EIS Platform is fundamental to any big knowledge scheme lacking open-source software platform for
data-intensive distributed applications, as the Apache Hadoop platform consisting of the Haddop kernel,
Google’s MapReduce and Google File System, Hadoop Distributed File System, Apache Hive, Apache HBase,
Zookeeper, and other data bases, warehouse systems, filesystems and web applications, for Log analysis,
Marketing analytics, Machine learning and data mining, Image processing, Processing of XML messages, Web
crawling and text processing , General archiving, etc.
BIG KNOWLEDGE vs. BIG DATA
• The EIS Platform is capitalizing on the world’s knowledge of things, Big Knowledge, the base and framework
for Big Data. The principal solutions are not in the way of tools and instrumentation, as an advanced
technoloy platform of servers and storage, virtualized operating environments, database, middleware, and
applications built on open standards and a service-oriented architecture.
• The substance of Big Data lies in the Big Knowledge, in the encyclopedic intelligent content, like universal
principles and fundamental laws, upper and domain ontologies, total schemas and full taxonomies, to be
integrated by comprehensive knowledge models, multidisciplinary sciences and global ontologies.
• In the Big Data World, computing machines store, process and retrieve information, while humans impose
structures and patterns, intelligence and meanings, context and value, insights and knowledge, predictions and
trends. For the key is to extract big knowledge from bigdata, creating the Big Knowledge World of
instrumented, integrated and intelligent data and information. Big science, social web networks, RFID and
sensor networks, mobile applications and cloud systems, social networks, as Facebook, Twitter, YouTube, offer
a massive amount of data in real time, with a lot of opportunities to create, share, publish and mine data
online.
• But, like raw crude, raw data in and of itself, however fast, big and varied, – without a structure and strategy
and pattern around it – isn’t of any true value, both hor humans and machines.
• The key thing is establishing the fundamental structure of massive data sets, like DARPA’s Topological Data
Analysis program seeking the fundamental structure of massive data sets and the tools to exploit that
knowledge. More and more sophisticated technologies are introduced to process large quantities of data, such
as massively parallel-processing databases, data-mining grids, distributed file systems, distributed databases,
cloud based applications, storage and computing resources and the Internet itself.
• The genuine fundamental structure of massive data sets and the tools is made of comprehensive knowledge
models and strategic schemas and universal reasoning algorithms, incorporated as a global ontology of the
GLOBAL KNOWLEDGE BASE AND DATA
SETS
• The EIS Knowledge Base facilitates Data Integration from many different sources to generate actionable knowledge, new intelligence and
comprehensive profiles of entities, persons or groups, objects or substances, events or processes, links or relations or structure and patterns in
behaviour, communication, movement and relationships, like as below:
• Financial transactions data bases
• Banking data bases
• Environment Monitoring Data Bank
• Data Retention Systems
• Utilities data bases
• Communications data bases
• Government data bases
• Telephone book data bases
• Telephone billing records
• Utility billing datasets (electricity, communications, tax)
• Registry office records
• Land registry data base
• Car rental data base
• Internet Protocol Address GIS
• Police and criminal records for terrorism, moner laundering, kidnapping, insurance fraud, drug trafficking, corruption, child pornography, slave traffic and
arms trafficking
• Data sets for terrorism, cyberterrorism, bioterrorism, chemical terrorism, nuclear terrorism, ecoterrorism, narcoterrorism, domestic terrorism, international
terrorism and theoterrorism
• Driving Licence register
• Traffic control points
• Vehicle registration data base
• Credit card transactions
• Bank account transactions
• Insurance company data bases
• Border Control data base
• Social Network data base
GLOBAL INTERNET OF EVERYTHING
• The Cisco® Internet Business Solutions Group (IBSG) believes that the Internet of Things
(IoT), where millions of new devices are regularly being connected to the Internet is the matter of
fact now, and it is a subset of the coming Internet of Eveything.
• The Internet of Everything (IoE), defined as networks of networks with trillions of connections, is
to totalize People, Process, Data, and Things into a world-wide cyber-physical socio-economic
ecosystem, to be run by the EIS Platform.
• The Big Science projects are all to contribute to the IoE development, like establishing a Planetary
Nervous System as a global sensor network by connecting the sensors in today’s smartphones.
• What is planned by the EU FuturICT projects, aiming to create a planetary nervous system to
measure the state of the world and the interactions in it.
• Real-time data mining, or “reality mining”, will be established, using data of the Internet and the
semantic web, as well as the data collected by linking sensors which aggregate information about
the technological, social, or economic activities around them.
INTELLIGENT COMMUNITY PLATFORM AND
TOTAL CLOUD COMPUTING
• The key issue in building a commercially valid i-community platform is to define where the community intelligence, varying
from city intelligence to state intelligence, is to be located, if it’s a centralized intelligence or networked, distributed
intelligence, or a mix of centralized management but distributed execution. Some stimulating theories as where the Community,
Country or City, Intelligence resides are as follows:
• in the combination of digital telecommunications networks (the neural network), intelligent data centers (the brain), sensors and
tags (the sensory organs, nerve endings), and user applications (behavior and actions);
• in the connection between the physical, social and digital spaces of communities;
• in the partnerships and social capital, smart regulatory and policy frameworks;
• in the organizing the development of technologies, skills and learning, and engaging citizens to become involved in creative
community participation;
• in the combination of networks, smart grids and meters and “big data” modelling
• We advance an integrated position that the community intelligence is in the combination of digital telecommunications
networks (the nerves), ubiquitously embedded intelligence and computation (the brain), sensors and tags (the sensory organs),
software and control systems (the mind, the big knowledge and cognitive competence) and user applications (behavior and
actions).
• To create a unified, dynamic, and intelligent computing environment, the Smart Communities of the Future are intertwined with
the Total Cloud Computing, Virtutalization 3.0 (a datacentre, or IT as a service), shifting from hypervisors and servers to the
entire platform, to a fully virtualized datacenter covering compute, automation, storage, networking, and hybrid clouds, with a
total, end-to-end management through the physical level to the application level.
• As a result, a Smart Community Cloud Computing Platform of next generation, or 3.0 Community Platform, will be made up of
five interdependent control layers: smart community applications, software community environments, software community
infrastructure, software kernel, and high-performance hardware, as in the EIS I-Community Platform.
SMART CITY PLATFORMS
• Pioneering the Design, Development and Deployment of Intelligent, Resilient, Scalable and Secure Next Generation Smart City
ManagementSystems, the EIS Platform is to integrate the best solutions of existing urban operating systems as below.
• • The Songdo digitally ubiquitous city development in South Korea, where the integrated networking services are designed
on a platform concept. Cisco is building on its technical experience with the Songdo network to place its Unified Service Delivery
Platform as an IT and communications platform for urban-scale developments.
• • Living PlanIT’s Urban Operating System as a distributed cloud-based middleware platform for monitoring and managing
built environment operations, using McLaren Electronic Systems sensor analytics technologies, embedded in the building fabric.
• The Microsoft’s Cloud Computing Offerings in the 2.0 World: The Connected Government Framework 4-layer model: Key
Challenges, People and Processes, Application Capabilities and Technologies for Smart Cities.
• • IBM’s Intelligent Operations Center for Smarter Cities, running on IBM System x® workload-optimized systems, and to
be deployed with a wider range of server platforms, as IBM Power Systems™ and IBM zEnterprise™ Systems. It is part of the
IBM Government Industry Framework, which provides a software platform and roadmap to implement IBM Smarter Cities™
solutions. There are several deployment options, as data centers or as a SaaS, residing on the IBM SmartCloud, an IaaS. The
solution makes a basis for customer-driven urban applications almost in 2000 smart cities engagements, like as in Boulder,
Zhenjiang, China and in Rio de Janeiro.
• • Schneider Electric’s SmartMobility Integrated City Management (ICM) solution, based on the company’s new smart city
platform.
• • Alcatel Lucent Sustainable Platform as aimed to empower a smarter city (convergence, connectivity, smart, secure,
private and resilient, and energy efficient; citizens, public safety, government, e-health, industrial, utilities).
• • GE Intelligent Platform Proficy software solutions to implement a new city-wide monitoring system, including Proficy
HMI/SCADA - iFIX, Proficy Historian, and Proficy Real-Time Information Portal...
• • the Contiki Software Platform, the open source operating system for the Internet of Things, developed by a world-wide
team of hardcore developers from Atmel, Cisco, ETH, Redwire LLC, SAP, SICS, Thingsquare, and many others . Via the Cooja
simulator, it allows a communication to the Internet for a wide variety of low-power systems, such as city sound monitoring, street
lights, networked electrical power meters, industrial monitoring, radiation monitoring, construction site monitoring, alarm systems,
and remote house monitoring: http://www.contiki-os.org/.
3.0 World City Model: EU Smart City
Prototype
 At the recent Smart Cities and Communities
Communication Launch Event, 10 July 2012,
Sheraton Hotel: Place Rogier 3, 1210 Brussels, the
Smart City and Community Concept originated by
us for a specific green field locality in EU, Cyprus,
has been advanced by the European Commission
as a European Smart City Prototype for cities and
communities:
 1. Smart Cities and Communities
Communication Launch Event, 10 July 2012,
Sheraton Hotel, Brussels:
http://ec.europa.eu/energy/technology/initiatives/
doc/2012_smartcities/20120625_agenda_smartciti
es_10july.pdf;
 2. The Cyprus Presidency’s view on Smart
Cities and Communities:
http://www.cy2012.eu/index.php/en/file/XnxLPbC
7uSb2nxXo9+AUZw==
 3. EU Smart Cities and Communities Prototype:
http://neapolis.com
 4. Abdoullaev, A., 2010, Neapolis Smart EcoCity™:
A Development Framework for Sustainable
Communities, ISBN 978-9963-9958-0-6; Cyprus,
EU
 5. Abdoullaev, A., 2011, Smart EcoCity™
(Intelligent Eco City™): How To Build Smart Green
Communities. ISBN 978-9963-9958-1-3; Cyprus,
EU
 Abdoullaev, A., 2011, A Smart World: A
Development Model for Intelligent Cities. Keynote.
The 11th IEEE International Conference on
Computer and Information Technology;
I-Russia Platform™
 All-Russian Territorial Intelligent Technological Platforms for sustainable global
communities and intelligent regions, smart eco cities and communities, knowledge
zones and natural ecosystems.
 Conceptual pillars: the 3.0 World, Smart Eco City (SEC), global computing ontology
for sustainable intelligent communities, intelligent cloud computing. 3.0
Virtualization, the Future Internet of Things and Web of Entities.
 All-Russian Integrated Cloud Platform for Regions, Cities and Communities, making a
Russia Sky, or Sky Russia Platform.
 The Russian SkyNet will virtualize Regions, Cities and Communities in the Smart
Connected Clouds.
 The Russian SkyNet is to model all the core elements as centrally coordinated
functional clouds, from the RF Government clouds to Region clouds to Government
clouds to Industry clouds to City clouds to Private clouds and to Smart Infrastructure
clouds.
 The “Russia SkyNet” Project is part of the Smart Territories of the Future Project.
(Skolkovo Innovation Center; Russia SkyNet will be created provided the Russian Government,
Skolkovo Fund or Russian Agency of Strategic Initiatives will back up the Project)
 Единая Федеративная Интеллектуальная Облачная Платформа (ЕФИОП). Будет
действовать как централизованная меж-облачная компьютерная система,
связывающая посредством интернет, всемирной паутины и беспроводных
семантически сенсорных сетей территории, регионы, города, и поселения, а
также транспорт, инфраструктуру, инженерные сооружения, и здания, являясь
общим интерфейсом для различных платформ, встроенных систем управления,
мобильных сетей, и специальных информационно-коммуникационных систем.
EIS Encyclopedic Intelligent Systems LtdEIS Encyclopedic Intelligent Systems Ltd
• Участник Проекта Инновационный Центр «Сколково»Участник Проекта Инновационный Центр «Сколково»
• Создатель Модельного Прототипа Умных Городов Будущего для СтранСоздатель Модельного Прототипа Умных Городов Будущего для Стран
ЕвросоюзаЕвросоюза: http://neapolis.com: http://neapolis.com
• Creator of Intelligent Community Brands: Intelligent Eco City™; Smart Eco City™;Creator of Intelligent Community Brands: Intelligent Eco City™; Smart Eco City™;
Smart Sustainable Communities™; i-City Operating Systems™, Smart CitySmart Sustainable Communities™; i-City Operating Systems™, Smart City
Software™, i-Community Package™, Intelligent Urban Operating Systems, Smart EcoSoftware™, i-Community Package™, Intelligent Urban Operating Systems, Smart Eco
Community Operating Systems, SECOS™Community Operating Systems, SECOS™
• SERVICES: Green Intelligent Developments, Sustainable Communities, Smart EcoSERVICES: Green Intelligent Developments, Sustainable Communities, Smart Eco
Cities; Future Territories Consultancy; i-City Building; Eco-Sustainable PropertyCities; Future Territories Consultancy; i-City Building; Eco-Sustainable Property
Developments; i-City Master PlanningDevelopments; i-City Master Planning
• CURRENT PROJECTS: Smart Territories of the Future (Territorial Intelligent CloudCURRENT PROJECTS: Smart Territories of the Future (Territorial Intelligent Cloud
Platforms); Intelligent Eco Towns: Neapolis Smart EcoCity (under development)Platforms); Intelligent Eco Towns: Neapolis Smart EcoCity (under development)
• Intelligent Eco City Megaproject: i-Moscow (under study)Intelligent Eco City Megaproject: i-Moscow (under study)
• Sustainable Nations Programs: i-Europe (EU 2020), i-Russia (adopted), i-CyprusSustainable Nations Programs: i-Europe (EU 2020), i-Russia (adopted), i-Cyprus
(under study)(under study)
EISEIS Intelligent Community BrandsIntelligent Community Brands
• I-WORLD™; Global SkyNet™I-WORLD™; Global SkyNet™
• Smart Sustainable Communities™;Smart Sustainable Communities™;
• Smart Sustainable World ™;Smart Sustainable World ™;
• Intelligent Eco City™;Intelligent Eco City™;
• Smart Eco City™;Smart Eco City™;
• i-City Operating Systems™;i-City Operating Systems™;
• Smart City Software™;Smart City Software™;
• i-Community Package™;i-Community Package™;
• Intelligent Urban Operating Systems;Intelligent Urban Operating Systems;
• Smart Eco Community Operating Systems, SECOS™Smart Eco Community Operating Systems, SECOS™
• Neapolis Smart EcoCity™Neapolis Smart EcoCity™
• Territorial Intelligent Platform™, TIPTerritorial Intelligent Platform™, TIP
• Territorial Intelligent Systems™, TISTerritorial Intelligent Systems™, TIS
• X.0 World ™; World X.0 ™; 3.0 World ™; World 3.0; 3.0 City ™; City 3.0 ™X.0 World ™; World X.0 ™; 3.0 World ™; World 3.0; 3.0 City ™; City 3.0 ™
• i-Europe™, Intelligent Europe™, Smart Europe™, Europe SkyNet™i-Europe™, Intelligent Europe™, Smart Europe™, Europe SkyNet™
• i-Russia™, Smart Russia™, Intelligent Russia™, Russia SkyNet™i-Russia™, Smart Russia™, Intelligent Russia™, Russia SkyNet™
ENCYCLOPEDIC INTELLIGENCE
PLATFORM APPLICATIONS
• Global Ontology of the World, or Digital Aristotle;
• World Encyclopedia;
• Big Science Knowledge Base;
• World Knowledge Graph vs. Google’s Knowledge Graph;
• Smart Web Search Schema;
• Human knowledge integration systems and semantic networks;
• Generic reasoning mechanisms and units;
• World data processing physical cognitive systems, from smart transducers and intelligent sensors to all-purpose cosmic robonauts;
• Natural language understanding software packages;
• Knowledge intensive embedded reasoning systems;
• Intelligent content systems for the Internet, as online smart encyclopedias, catalogues, taxonomies, vocabularies, and terminologies;
• Generic reasoning platforms and intelligent search technology for the Semantic World Wide Web, interactive home TV, etc.;
• Encyclopedic intelligent applications, as i-business smart technologies, global web trading systems, forecasting business systems, business
management i-consultancy, etc.;
• Integrated intelligent solutions for i-Government, i-Learning, i-Science, i-Health, and i-Business;
• Business intelligent technology providing generic industry solutions and autonomously implementing commercial processes, activities,
transactions, and trading operations (e.g., logistic management systems, inventory management modules, enterprise resource planning agents,
export-import brokering agents, etc.);
• Digital Earth;
• Intelligent City Operations, Control and Command Centers; 
• Smart City Management Platform; Urban Operations Cloud System; Digital Cities in the Sky
Sky/Cloud Computing Cities, Virtual Cities in the Sky, Cities In the Sky™;
• Intelligent Community Platforms;
• i-Europe Platform,
• i-Cyprus Platfrom;
• i-Russia Platform;
• i-Moscow Platform;
• I-World Platform
ООО "Энциклопедические
Интеллектуальные Системы"
 Предметом уставной деятельности Общества является:
 исследование, разработка и коммерциализация единой платформы интеллектуальных городов,
инновационных кластеров, экоградов, умных эко-проектов и инновационных застроек;
 исследование, разработка и коммерциализация цифровых моделей интеллектуальных городов, виртуальных
интернет и веб городов с умными системами, процессами, услугами;
 исследование, разработка и коммерциализация цифровых моделей умных интеллектуальных городов и
регионов;
 исследование, разработка и коммерциализация интегрированных моделей эко-градов, эко-полисов и эко-
комлексов: жилых, коммерческих и промышленных;
 исследование, разработка и коммерциализация интегрированных моделей и прототипов умных городов,
регионов и стран;
 исследование, разработка и коммерциализация умных экологических городов, их основных комплексов,
структур, систем, элементов и компонентов;
 исследование, разработка и коммерциализация интегрированных инновационных систем, инновационных
кластеров, исследовательских и технологических парков;
 исследование, разработка и коммерциализация экологичной инфраструктуры инновационных эко-городов,
застроек, кварталов, комплексов и отдельных зданий;
 исследование, разработка и коммерциализация интеллектуальной инфраструктуры инновационного эко-
города, высокотехнологичного городского комплекса;
 исследование, разработка и коммерциализация интегрированных интеллектуальных инженерных, оптических
телекоммуникационных и возобновляемых энергетических сетей;
 исследование, разработка и коммерциализация виртуального многомерного проектирования городского
пространства, объектов гражданского и промышленного строительства, интеллектуальных инженерных сетей
и коммуникаций;
 исследование, разработка и коммерциализация интеллектуальных информационных моделей, систем, услуг и
технологий;
 исследование, разработка и коммерциализация интеллектуальных компьютерных моделей, систем, услуг и
технологий;
 исследование, разработка и коммерциализация универсальных систем научного и технологического знания;
 исследование, разработка и коммерциализация интеллектуальных энциклопедически систем в форме
физических роботов, виртуальных интернет систем и компьютерных программ;
 исследование, разработка и коммерциализация будущих интернет технологий и семантических сетей.
GLOBAL COOPERATION
 EIS Encyclopedic Intelligent Systems Limited Company, Moscow, Skolkovo Innovation
Center Participant, is a valid owner and creator of the Intelligent World Content
Products, which are under copyright, trademarks, trade secrets or know-how.
 EIS Ltd is open for a global cooperation to design, develop, and distribute
the ENCYCLOPEDIC INTELLIGENCE of different scales and kinds, from smart sustainable
communities to intelligent information technologies and computing knowledge
applications, as above.
 The company is planning to grant brand licences under intellectual property laws to
authorize a use for its Intelligent Intangible Assets to prospective partners, to develop
the EIS Platform systems, applications and services as above.
 Considering the type of legal entities and the form of knowledge transfer, the scale of
cooperation and the scope of territories, the terms and conditions, knowledge transfer
fees, royalties, and renewal provisions will have been properly stipulated, including
other specifications and limitations deemed vital to the licensor.
 Below is an example of the licensed product process steps:
 Licensor is informed by a prospective partner on the product categories to be licensed
 Licensor negotiates a knowledge transfer license and fees with the best licensees
 Licensees develop concepts, prototypes and final production samples and submit for
approval
 Licensor approves licensed products for public development, software coding and
programming, and commercial sale
 Licensees sell licensed knowledge products or intelligent services
In all, the forms of cooperation involve consultancy, licensing, cooperative
R&D or contract R&D agreements, and spin-offs.
WORLD KNOWLEDGE TRANSFER
PACKAGE
 INTELLIGENT WORLD’S CONTENT FOR SMART CYBER-PHYSICAL ECOSYSTEMS, KNOWLEDGE TECHNOLOGIES,
GLOBAL INTELLIGENT NETWORKS, AND LARGE AI APPLICATIONS
 ONTOPEDIA™: The World Encyclopedia, a Global Ontology of the World, Total Schema of Things, and
Knowledge Web Graph
 TOTAL ENCYCLOPEDIA: Wikipedia + Wordnet + Britannica
 Contact: ontopaedia@gmail.com
GESS™: GLOBAL ENTITY SEARCH SYSTEM™: GLOBAL KNOWLEDGE GRAPH: Smart Web Search
Schema/Intelligent Search for the Internet of Everything and Smart Web of Entities
 Contact: ontopaedia@gmail.com
BIG SCIENCE: Integrated Science and Technology, Arts and Philosophy
 Contact: ontopaedia@gmail.com
 TOTAL KNOWLEDGE BASES
 Contact: ontopaedia@gmail.com
 USE CASES:
 I. MEDICAL ONTOLOGY: MEDICINE, DISEASES, and DRUGS
 MEDICINE
 DIAGNOSIS, DISEASE, AND TREATMENT
 DRUGS, MEDICINES, AND MEDICATION
 II. COMMERCIAL ONTOLOGY: BUSINESS OR COMMERCE
 BUSINESS LAW
 BUSINESS ORGANIZATION, ENTERPRISE
 MARKET
 MARKETING
 INDUSTRY
 INDUSTRY AND PRODUCT CLASSIFICATION SCHEMAS
 III. GEOGRAPHIC ONTOLOGY: COUNTRIES, NATIONS, AND PEOPLES
 COUNTRY
 WORLD CONTINENTS AND WORLD COUNTRIES
CONTACT
 ООО "Энциклопедические Интеллектуальные
Системы“(Moscow/Russia)
 Skolkovo Innovation Center Participant
 EIS Encyclopedic Intelligent Systems Ltd (EU)
 Dr Azamat Sh. Abdoullaev, Managing Director
 Тел.: 456 10 35; 453 26 00; Int.: + 357 99 683
849
 E-mail: ontopaedia@gmail.com;
 Internet Sites: http://iiisyla.livejournal.com
 PROJECT:ENCYCLOPEDIC INTELLIGENCE
PLATFORM (EIS PLATFORM)

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Encyclopedic Intelligence as Artificial Super Intelligence: Are You Ready To Be Replaced or Combined?

  • 1. ENCYLOPEDIC INTELLIGENCE PLATFORM:ENCYLOPEDIC INTELLIGENCE PLATFORM: Ontology of EverythingOntology of Everything World Knowledge GraphWorld Knowledge Graph Smart Web SearchSmart Web Search Internet of EverythingInternet of Everything Intelligent CitiesIntelligent Cities Smart WorldSmart World byby ОООООО ""Энциклопедические Интеллектуальные СистемыЭнциклопедические Интеллектуальные Системы“/EIS Encyclopedic Intelligent“/EIS Encyclopedic Intelligent Systems Ltd (Moscow/Russia, Skolkovo Innovation Center )Systems Ltd (Moscow/Russia, Skolkovo Innovation Center ) Azamat Sh. AbdoullaevAzamat Sh. Abdoullaev Put the world in your head, Place the universe into your machines
  • 2. ENCYCLOPEDIC INTELLIGENCE vs. ARTIFICIAL INTELLIGENCE • Encyclopedic Intelligence, EA, is overriding Artificial Intelligence, AI, as the power of a digital computer or computer-controlled robot to perform the intellectual processes, characteristic of humans, such as intelligence, brain, mind and intellect, cognition and reasoning, discoverying meaning, natural language understanding, deduction and induction, planning, gaming, and learning from experience. Such an unobjective approach, a cognition is always an immanent act of the mind, was a key reason of missing high expectations, seen from the current listing of AI specialized projects in brain simulation, cognitive architectures, games, knowledge and reasoning, natural language processing, planning, software libraries of data mining and intelligence algorithms, cloud computing, and robotics, motion and manipulation. http://sourceforge.net/directory/os:windows/freshness:recently-updated/?q=artificial+intelligence • As a mind-centered example of the EIA paradigm, it could be mentioned Grand Challenge 5 – Architecture of Brain and Mind, a UK attempt to understand and model natural intelligence at various levels of abstraction, being embodied in a succession of robots. • As a world-centered example of the EIA approach, it could be mentioned Synthetic Environment for Analysis and Simulations (SEAS), a model of the real world used by Homeland security and the United States Department of Defense that uses simulation and AI to predict and evaluate future events and courses of action. • EI is to pursue building AI, reasoning systems and thinking technologies, as well as intelligent global communities and smart cities, but on a scientific objective paradigm, modeling the world of entities and relations, where understanding, establishing or predicting all possible relationships among things make the core of real intelligence. http://www.sciencecentral.com/site/4538138
  • 3. GLOBAL SUSTAINABILITY: SMART WORLD or SMARTER PLANET • The Encyclopedic Intelligence Platform contributes to the most life-critical human issue of global sustainability enabling the transformation of the Big Data World into the Big Knowledge World of Intelligent Communities, presented as a Smart World of the Future. • As such, it forms the base for such world-scale AI projects as the IBM Smarter planet, turning information into insights by advanced analytics and infusing intelligence into the world’s systems and processes, as cars, appliances, roadways, power grids, clothes, natural systems, as agriculture and waterways, and global supply chain, improving government operations, public safety systems, healthcare, energy flow and traffic management. • Demographic, environmental, economic, political, and socio-cultural factors are forcing the future world to become more efficient, rational, dynamic, intelligent, technological, and self-sustaining, or smart and sustainable. • The 21st century necessitates the wholly new development principles, policies, processes, and objectives: sustainable world strategies, comprehensive planning, integrated models, and globally effective solutions, casting away the old world-systems models as dividing the world into core zones, specialized in information, finance, service, or high-technology industries, transitory semi-periphery countries and undeveloped periphery zones. • The sustainable world system is expected to synergistically driven by natural capital, social capital, technological and digital capital, like as the Global Internet/Web of Things, Knowledge and Social Intelligence and Renewable Energy Sources. Such a New World is emerging as a Smart World, converging the Cyber, Social, and Physical Domains.
  • 4. WORLD-WIDE DINAMIC FRAMEWORK, TOTAL ONTOLOGY, OR GLOBAL SCHEMAS OF THINGS • A global ontology of the world, the world reference system, is about primary entities and relationships of the world. It provides a comprehensive, consistent, converging and merging holistic dynamic framework, for all specific frameworks and schemas, theories and models, systems and strategies, standards and structures, rules and policies, procedures and processes, representations and belief, of all knowledge domains, disciplines, sciences and technologies. • Thus the scope and range of applications for the world system is vitually unlimited, from physical ontology to geo ontology, gene ontology to biomedical ontology to social ontology, from connecting data across the net to a global earth platform, from internet of things to semantic web, from smart applications to smart cities, etc. • The Encyclopedic Intelligence Platform integrates the upper, top-level or foundation ontology, ontology systems of reference concepts, relations and semantic primitives, to be used for semantic interoperability, annotation, indexing, and retrieval, web-scale semantic data exchange, federation, and inferencing. • It is the knowledge base for such large-scale AI projects as CYC, lacking fundamental world ontology, but attempting to create a comprehensive ontology and knowledge base of everyday common sense knowledge to enable AI applications with human-like reasoning capacities. • Nowadays, “ontology” is widely used to mean almost everything: controlled vocabularies, glossaries & data dictionaries, thesauri & taxonomies, schemas & data models, domain models, formal ontologies, rule inference systems, and what not. • We proposed to think of Global Ontology of the World as putting the universe in the human heads, in the way of general intelligence. Hence the formal global ontology is putting the world in the computing machines, the internet, and the World Wide Web, thus structuring the whole digital world and bridging it with the physical counterpart. • We developed an integrated schema of the world, its things, concepts, knowledge and data: • Integrated World Ontology = Global Ontology + Domain Ontologies + Knowledge Domains + Big Data + Statistics • The world representation is distributed between a central ontology (maintaining a global schema, general semantics, and common interoperability framework), multiple regional ontologies with own local schemas and specific information sources and knowledge domains. • In the Reality book (Reality, Universal Ontology and Knowledge Systems, IGI Global, 2008), it’s proved that the Global Ontology not just a matter of feasibility or worth, but an ultimate object of quest for fundamental knowledge, and a must for world-wide intelligent networks, disruptive intelligent systems and smart territory applications.
  • 5. BIG SCIENCE, or TOTAL WORLD KNOWLEDGE • The Encyclopedic Intelligence Platform is critical for the Big Science projects, as the Large Hadron Collider, the Human Genome Project, the Internet of Things, Intelligent Cities, etc. • Totalizing Science, Technology, Arts and Philosophy, the EIS Big Science of Big Data allows intelligent agents, humans and machines, to meaningfully process an ocean of information to be turned into insights, patterns, trends, predictions, business models, discoveries, innovations, new knowledge, and wisdom. • The Total Science meets the need of for a New Multi-Level Complex Systems Science dealing with our complex world of strongly connected, techno-social-economic ecosystems. • As such, it is the knowledge platform for the multi-billion EU Big Science Multi-Disciplinary Project, integrating many different research areas, as ICT, Complexity Science and the Social Sciences, to combine the best of all relevant knowledge as the Knowledge Accelerator. • The EIS Platform underlies a global ICT Participatory Living Earth Platform, a simulation, visualization and participation platform to support decision-making of policy-makers, business people and citizens, 1 bn EU FuturICT project aimed to understand and manage complex, global, socially interactive systems, focusing on sustainability and resilience. As the research priorities and applications, it is planning smart cities (as more than 50% of the world population is now living in cities), smart energy systems (as micro-generation of electrical power will increase the number of independent energy providers multiple times), smart health systems (to ensure a high quality of life in an ageing society at affordable costs), and better financial architectures (to reduce the related societal losses). FutureICT. Global Computing for our Complex World. http://www.futurict.eu/
  • 6. SMART WEB, TOTAL WWW, or X.0 Web • The Encyclopedic Intelligence Platform essentially enriches the schema simulations, markup schemas, a hierarchy of basic types and properties, for advanced search engines of Bing, Google, Yahoo! and Yandex. For “the type hierarchy presented on this site is not intended to be a 'global ontology' of the world. It only covers the types of entities for which we (Microsoft, Yahoo! and Google), think we can provide some special treatment for, through our search engine, in the near future.” http://www.schema.org/docs/datamodel.html The Encyclopedic Intelligence Platform underpins both the Web 2.0 collaborative tagging, social classification, social indexing, social tagging, or folksonomy, and the semantic web standard vocabularies and web ontologies for data integration, knowledge organization and reasoning as RDF and RDF Schemas, Simple Knowledge Organization System (SKOS), Web Ontology Language (OWL), and the Rule Interchange Format (RIF). • It makes a core for the Linked Open Data (LOD) seeking to connect distributed data across the cybernet, with the LOD cloud aiming to enable people to build “mash-ups” by combining data from multiple sources. • The X.0 Web, the Web of Everything, is characterized by the hierarchical structure anchored in the real world environment via the global ontologyl groundwork for the semantic web stack, see Fig.1, as below: • <Global Intelligent Cyberspace, Total Web> :: = <Ontological Framework, WDF, or RMF> <Semiotics> <the World Wide Web, or the Syntactic Web> • <Ontological Framework> :: = <Unified Framework Ontology, Ontopaedia> <Upper Level Ontologies> <Domain Ontologies> • <Semiotics> :: = <Pragmatics> <Semantics> <Syntax> • <Pragmatics> :: = <Users> <Web Agents> <Intentions> <Actions> <Communication> <Proof> <Trust> <Truth> • <Semantics> :: = <Signs, Data Type, Natural Language Expressions> < Constructs> <Meanings> • <Syntax> :: = <Logical Framework> <Rules> <OWL Ontology> <RDF Schema> <RDF M&S>< RDF> <XML/SGML> <Namespaces> • <the Web> ::= <Resources, Representation, Identification, URI, Unicode> <Interaction, Software Agents, Hypertext links, Protocols, HTTP> <Formats, HTML, XHTML>
  • 7. GLOBAL KNOWLEDGE GRAPH or Google’s KNOWLEDGE GRAPH • The Encyclopedic Intelligence Platform, with its conceptual core of Global Knowledge Graph, makes the substance for Google’s Knowledge Graph of interconnected entities and their attributes, using the entity-relationship database model. • Tapping on Wikipedia, Freebase and CIA World Factbooks, it is currently containing more than 500 million people, places and things that have about 3.5 billion attributes. • The graph presents an encyclopedia with structured information obtained from the web to help understanding queries, provide answers to complex questions and find more relevant results. • It capitalizes on FreeBase, a community-built online collection of databases, an open database of the world's knowledge, a massive, collaboratively edited database of cross-linked data, and where an interface affords to fill in information structured with metadata, and to categorize or connect data items in meaningful ways. • Thus Google makes a paradigm shift from the word-matching query to search by things themselves, where the AI-like intelligence consists in understanding the relationships among things.
  • 8. INDUSTRIAL INTELLIGENT PLATFORMS: Siemens, Oracle, GE, IBM, Google, etc. • The EIS Platform underlies the Siemens Intelligence Platform designed for organisations related to • Law Enforcement; • Government; • Other investigative organisations, and aming for data integration. • It underlies the GE Platform of Industrial Big Data Analytics to bring meaning and context, insights and value, patterns and trends, improving operational and financial performance of real-time operations systems. • The EIS Platform supports the Oracle iGovernment technology platform for innovative, integrated, and intelligent operations, to integrate across agencies and all levels of government, to modernize the IT infrastructure, to increase efficiency and transparency, to deliver shared services, streamline and automate policy and processes, ensure the integrity of operations, providing a common service delivery for government functions, from human services to public safety to economic development. • The EIS Platform is fundamental to the IBM Platform for Search, Discovery and Navigation of Big Data involving information integration and governance, Hadoop system, stream computing and data warehouse, big data connectors (web, web 2.0, email, file systems, large data bases, feeds), search engine with text analytics and metadata and application framework. • The EIS Platform is fundamental to any big knowledge scheme lacking open-source software platform for data-intensive distributed applications, as the Apache Hadoop platform consisting of the Haddop kernel, Google’s MapReduce and Google File System, Hadoop Distributed File System, Apache Hive, Apache HBase, Zookeeper, and other data bases, warehouse systems, filesystems and web applications, for Log analysis, Marketing analytics, Machine learning and data mining, Image processing, Processing of XML messages, Web crawling and text processing , General archiving, etc.
  • 9. BIG KNOWLEDGE vs. BIG DATA • The EIS Platform is capitalizing on the world’s knowledge of things, Big Knowledge, the base and framework for Big Data. The principal solutions are not in the way of tools and instrumentation, as an advanced technoloy platform of servers and storage, virtualized operating environments, database, middleware, and applications built on open standards and a service-oriented architecture. • The substance of Big Data lies in the Big Knowledge, in the encyclopedic intelligent content, like universal principles and fundamental laws, upper and domain ontologies, total schemas and full taxonomies, to be integrated by comprehensive knowledge models, multidisciplinary sciences and global ontologies. • In the Big Data World, computing machines store, process and retrieve information, while humans impose structures and patterns, intelligence and meanings, context and value, insights and knowledge, predictions and trends. For the key is to extract big knowledge from bigdata, creating the Big Knowledge World of instrumented, integrated and intelligent data and information. Big science, social web networks, RFID and sensor networks, mobile applications and cloud systems, social networks, as Facebook, Twitter, YouTube, offer a massive amount of data in real time, with a lot of opportunities to create, share, publish and mine data online. • But, like raw crude, raw data in and of itself, however fast, big and varied, – without a structure and strategy and pattern around it – isn’t of any true value, both hor humans and machines. • The key thing is establishing the fundamental structure of massive data sets, like DARPA’s Topological Data Analysis program seeking the fundamental structure of massive data sets and the tools to exploit that knowledge. More and more sophisticated technologies are introduced to process large quantities of data, such as massively parallel-processing databases, data-mining grids, distributed file systems, distributed databases, cloud based applications, storage and computing resources and the Internet itself. • The genuine fundamental structure of massive data sets and the tools is made of comprehensive knowledge models and strategic schemas and universal reasoning algorithms, incorporated as a global ontology of the
  • 10. GLOBAL KNOWLEDGE BASE AND DATA SETS • The EIS Knowledge Base facilitates Data Integration from many different sources to generate actionable knowledge, new intelligence and comprehensive profiles of entities, persons or groups, objects or substances, events or processes, links or relations or structure and patterns in behaviour, communication, movement and relationships, like as below: • Financial transactions data bases • Banking data bases • Environment Monitoring Data Bank • Data Retention Systems • Utilities data bases • Communications data bases • Government data bases • Telephone book data bases • Telephone billing records • Utility billing datasets (electricity, communications, tax) • Registry office records • Land registry data base • Car rental data base • Internet Protocol Address GIS • Police and criminal records for terrorism, moner laundering, kidnapping, insurance fraud, drug trafficking, corruption, child pornography, slave traffic and arms trafficking • Data sets for terrorism, cyberterrorism, bioterrorism, chemical terrorism, nuclear terrorism, ecoterrorism, narcoterrorism, domestic terrorism, international terrorism and theoterrorism • Driving Licence register • Traffic control points • Vehicle registration data base • Credit card transactions • Bank account transactions • Insurance company data bases • Border Control data base • Social Network data base
  • 11. GLOBAL INTERNET OF EVERYTHING • The Cisco® Internet Business Solutions Group (IBSG) believes that the Internet of Things (IoT), where millions of new devices are regularly being connected to the Internet is the matter of fact now, and it is a subset of the coming Internet of Eveything. • The Internet of Everything (IoE), defined as networks of networks with trillions of connections, is to totalize People, Process, Data, and Things into a world-wide cyber-physical socio-economic ecosystem, to be run by the EIS Platform. • The Big Science projects are all to contribute to the IoE development, like establishing a Planetary Nervous System as a global sensor network by connecting the sensors in today’s smartphones. • What is planned by the EU FuturICT projects, aiming to create a planetary nervous system to measure the state of the world and the interactions in it. • Real-time data mining, or “reality mining”, will be established, using data of the Internet and the semantic web, as well as the data collected by linking sensors which aggregate information about the technological, social, or economic activities around them.
  • 12. INTELLIGENT COMMUNITY PLATFORM AND TOTAL CLOUD COMPUTING • The key issue in building a commercially valid i-community platform is to define where the community intelligence, varying from city intelligence to state intelligence, is to be located, if it’s a centralized intelligence or networked, distributed intelligence, or a mix of centralized management but distributed execution. Some stimulating theories as where the Community, Country or City, Intelligence resides are as follows: • in the combination of digital telecommunications networks (the neural network), intelligent data centers (the brain), sensors and tags (the sensory organs, nerve endings), and user applications (behavior and actions); • in the connection between the physical, social and digital spaces of communities; • in the partnerships and social capital, smart regulatory and policy frameworks; • in the organizing the development of technologies, skills and learning, and engaging citizens to become involved in creative community participation; • in the combination of networks, smart grids and meters and “big data” modelling • We advance an integrated position that the community intelligence is in the combination of digital telecommunications networks (the nerves), ubiquitously embedded intelligence and computation (the brain), sensors and tags (the sensory organs), software and control systems (the mind, the big knowledge and cognitive competence) and user applications (behavior and actions). • To create a unified, dynamic, and intelligent computing environment, the Smart Communities of the Future are intertwined with the Total Cloud Computing, Virtutalization 3.0 (a datacentre, or IT as a service), shifting from hypervisors and servers to the entire platform, to a fully virtualized datacenter covering compute, automation, storage, networking, and hybrid clouds, with a total, end-to-end management through the physical level to the application level. • As a result, a Smart Community Cloud Computing Platform of next generation, or 3.0 Community Platform, will be made up of five interdependent control layers: smart community applications, software community environments, software community infrastructure, software kernel, and high-performance hardware, as in the EIS I-Community Platform.
  • 13. SMART CITY PLATFORMS • Pioneering the Design, Development and Deployment of Intelligent, Resilient, Scalable and Secure Next Generation Smart City ManagementSystems, the EIS Platform is to integrate the best solutions of existing urban operating systems as below. • • The Songdo digitally ubiquitous city development in South Korea, where the integrated networking services are designed on a platform concept. Cisco is building on its technical experience with the Songdo network to place its Unified Service Delivery Platform as an IT and communications platform for urban-scale developments. • • Living PlanIT’s Urban Operating System as a distributed cloud-based middleware platform for monitoring and managing built environment operations, using McLaren Electronic Systems sensor analytics technologies, embedded in the building fabric. • The Microsoft’s Cloud Computing Offerings in the 2.0 World: The Connected Government Framework 4-layer model: Key Challenges, People and Processes, Application Capabilities and Technologies for Smart Cities. • • IBM’s Intelligent Operations Center for Smarter Cities, running on IBM System x® workload-optimized systems, and to be deployed with a wider range of server platforms, as IBM Power Systems™ and IBM zEnterprise™ Systems. It is part of the IBM Government Industry Framework, which provides a software platform and roadmap to implement IBM Smarter Cities™ solutions. There are several deployment options, as data centers or as a SaaS, residing on the IBM SmartCloud, an IaaS. The solution makes a basis for customer-driven urban applications almost in 2000 smart cities engagements, like as in Boulder, Zhenjiang, China and in Rio de Janeiro. • • Schneider Electric’s SmartMobility Integrated City Management (ICM) solution, based on the company’s new smart city platform. • • Alcatel Lucent Sustainable Platform as aimed to empower a smarter city (convergence, connectivity, smart, secure, private and resilient, and energy efficient; citizens, public safety, government, e-health, industrial, utilities). • • GE Intelligent Platform Proficy software solutions to implement a new city-wide monitoring system, including Proficy HMI/SCADA - iFIX, Proficy Historian, and Proficy Real-Time Information Portal... • • the Contiki Software Platform, the open source operating system for the Internet of Things, developed by a world-wide team of hardcore developers from Atmel, Cisco, ETH, Redwire LLC, SAP, SICS, Thingsquare, and many others . Via the Cooja simulator, it allows a communication to the Internet for a wide variety of low-power systems, such as city sound monitoring, street lights, networked electrical power meters, industrial monitoring, radiation monitoring, construction site monitoring, alarm systems, and remote house monitoring: http://www.contiki-os.org/.
  • 14. 3.0 World City Model: EU Smart City Prototype  At the recent Smart Cities and Communities Communication Launch Event, 10 July 2012, Sheraton Hotel: Place Rogier 3, 1210 Brussels, the Smart City and Community Concept originated by us for a specific green field locality in EU, Cyprus, has been advanced by the European Commission as a European Smart City Prototype for cities and communities:  1. Smart Cities and Communities Communication Launch Event, 10 July 2012, Sheraton Hotel, Brussels: http://ec.europa.eu/energy/technology/initiatives/ doc/2012_smartcities/20120625_agenda_smartciti es_10july.pdf;  2. The Cyprus Presidency’s view on Smart Cities and Communities: http://www.cy2012.eu/index.php/en/file/XnxLPbC 7uSb2nxXo9+AUZw==  3. EU Smart Cities and Communities Prototype: http://neapolis.com  4. Abdoullaev, A., 2010, Neapolis Smart EcoCity™: A Development Framework for Sustainable Communities, ISBN 978-9963-9958-0-6; Cyprus, EU  5. Abdoullaev, A., 2011, Smart EcoCity™ (Intelligent Eco City™): How To Build Smart Green Communities. ISBN 978-9963-9958-1-3; Cyprus, EU  Abdoullaev, A., 2011, A Smart World: A Development Model for Intelligent Cities. Keynote. The 11th IEEE International Conference on Computer and Information Technology;
  • 15. I-Russia Platform™  All-Russian Territorial Intelligent Technological Platforms for sustainable global communities and intelligent regions, smart eco cities and communities, knowledge zones and natural ecosystems.  Conceptual pillars: the 3.0 World, Smart Eco City (SEC), global computing ontology for sustainable intelligent communities, intelligent cloud computing. 3.0 Virtualization, the Future Internet of Things and Web of Entities.  All-Russian Integrated Cloud Platform for Regions, Cities and Communities, making a Russia Sky, or Sky Russia Platform.  The Russian SkyNet will virtualize Regions, Cities and Communities in the Smart Connected Clouds.  The Russian SkyNet is to model all the core elements as centrally coordinated functional clouds, from the RF Government clouds to Region clouds to Government clouds to Industry clouds to City clouds to Private clouds and to Smart Infrastructure clouds.  The “Russia SkyNet” Project is part of the Smart Territories of the Future Project. (Skolkovo Innovation Center; Russia SkyNet will be created provided the Russian Government, Skolkovo Fund or Russian Agency of Strategic Initiatives will back up the Project)  Единая Федеративная Интеллектуальная Облачная Платформа (ЕФИОП). Будет действовать как централизованная меж-облачная компьютерная система, связывающая посредством интернет, всемирной паутины и беспроводных семантически сенсорных сетей территории, регионы, города, и поселения, а также транспорт, инфраструктуру, инженерные сооружения, и здания, являясь общим интерфейсом для различных платформ, встроенных систем управления, мобильных сетей, и специальных информационно-коммуникационных систем.
  • 16. EIS Encyclopedic Intelligent Systems LtdEIS Encyclopedic Intelligent Systems Ltd • Участник Проекта Инновационный Центр «Сколково»Участник Проекта Инновационный Центр «Сколково» • Создатель Модельного Прототипа Умных Городов Будущего для СтранСоздатель Модельного Прототипа Умных Городов Будущего для Стран ЕвросоюзаЕвросоюза: http://neapolis.com: http://neapolis.com • Creator of Intelligent Community Brands: Intelligent Eco City™; Smart Eco City™;Creator of Intelligent Community Brands: Intelligent Eco City™; Smart Eco City™; Smart Sustainable Communities™; i-City Operating Systems™, Smart CitySmart Sustainable Communities™; i-City Operating Systems™, Smart City Software™, i-Community Package™, Intelligent Urban Operating Systems, Smart EcoSoftware™, i-Community Package™, Intelligent Urban Operating Systems, Smart Eco Community Operating Systems, SECOS™Community Operating Systems, SECOS™ • SERVICES: Green Intelligent Developments, Sustainable Communities, Smart EcoSERVICES: Green Intelligent Developments, Sustainable Communities, Smart Eco Cities; Future Territories Consultancy; i-City Building; Eco-Sustainable PropertyCities; Future Territories Consultancy; i-City Building; Eco-Sustainable Property Developments; i-City Master PlanningDevelopments; i-City Master Planning • CURRENT PROJECTS: Smart Territories of the Future (Territorial Intelligent CloudCURRENT PROJECTS: Smart Territories of the Future (Territorial Intelligent Cloud Platforms); Intelligent Eco Towns: Neapolis Smart EcoCity (under development)Platforms); Intelligent Eco Towns: Neapolis Smart EcoCity (under development) • Intelligent Eco City Megaproject: i-Moscow (under study)Intelligent Eco City Megaproject: i-Moscow (under study) • Sustainable Nations Programs: i-Europe (EU 2020), i-Russia (adopted), i-CyprusSustainable Nations Programs: i-Europe (EU 2020), i-Russia (adopted), i-Cyprus (under study)(under study)
  • 17. EISEIS Intelligent Community BrandsIntelligent Community Brands • I-WORLD™; Global SkyNet™I-WORLD™; Global SkyNet™ • Smart Sustainable Communities™;Smart Sustainable Communities™; • Smart Sustainable World ™;Smart Sustainable World ™; • Intelligent Eco City™;Intelligent Eco City™; • Smart Eco City™;Smart Eco City™; • i-City Operating Systems™;i-City Operating Systems™; • Smart City Software™;Smart City Software™; • i-Community Package™;i-Community Package™; • Intelligent Urban Operating Systems;Intelligent Urban Operating Systems; • Smart Eco Community Operating Systems, SECOS™Smart Eco Community Operating Systems, SECOS™ • Neapolis Smart EcoCity™Neapolis Smart EcoCity™ • Territorial Intelligent Platform™, TIPTerritorial Intelligent Platform™, TIP • Territorial Intelligent Systems™, TISTerritorial Intelligent Systems™, TIS • X.0 World ™; World X.0 ™; 3.0 World ™; World 3.0; 3.0 City ™; City 3.0 ™X.0 World ™; World X.0 ™; 3.0 World ™; World 3.0; 3.0 City ™; City 3.0 ™ • i-Europe™, Intelligent Europe™, Smart Europe™, Europe SkyNet™i-Europe™, Intelligent Europe™, Smart Europe™, Europe SkyNet™ • i-Russia™, Smart Russia™, Intelligent Russia™, Russia SkyNet™i-Russia™, Smart Russia™, Intelligent Russia™, Russia SkyNet™
  • 18. ENCYCLOPEDIC INTELLIGENCE PLATFORM APPLICATIONS • Global Ontology of the World, or Digital Aristotle; • World Encyclopedia; • Big Science Knowledge Base; • World Knowledge Graph vs. Google’s Knowledge Graph; • Smart Web Search Schema; • Human knowledge integration systems and semantic networks; • Generic reasoning mechanisms and units; • World data processing physical cognitive systems, from smart transducers and intelligent sensors to all-purpose cosmic robonauts; • Natural language understanding software packages; • Knowledge intensive embedded reasoning systems; • Intelligent content systems for the Internet, as online smart encyclopedias, catalogues, taxonomies, vocabularies, and terminologies; • Generic reasoning platforms and intelligent search technology for the Semantic World Wide Web, interactive home TV, etc.; • Encyclopedic intelligent applications, as i-business smart technologies, global web trading systems, forecasting business systems, business management i-consultancy, etc.; • Integrated intelligent solutions for i-Government, i-Learning, i-Science, i-Health, and i-Business; • Business intelligent technology providing generic industry solutions and autonomously implementing commercial processes, activities, transactions, and trading operations (e.g., logistic management systems, inventory management modules, enterprise resource planning agents, export-import brokering agents, etc.); • Digital Earth; • Intelligent City Operations, Control and Command Centers;  • Smart City Management Platform; Urban Operations Cloud System; Digital Cities in the Sky Sky/Cloud Computing Cities, Virtual Cities in the Sky, Cities In the Sky™; • Intelligent Community Platforms; • i-Europe Platform, • i-Cyprus Platfrom; • i-Russia Platform; • i-Moscow Platform; • I-World Platform
  • 19. ООО "Энциклопедические Интеллектуальные Системы"  Предметом уставной деятельности Общества является:  исследование, разработка и коммерциализация единой платформы интеллектуальных городов, инновационных кластеров, экоградов, умных эко-проектов и инновационных застроек;  исследование, разработка и коммерциализация цифровых моделей интеллектуальных городов, виртуальных интернет и веб городов с умными системами, процессами, услугами;  исследование, разработка и коммерциализация цифровых моделей умных интеллектуальных городов и регионов;  исследование, разработка и коммерциализация интегрированных моделей эко-градов, эко-полисов и эко- комлексов: жилых, коммерческих и промышленных;  исследование, разработка и коммерциализация интегрированных моделей и прототипов умных городов, регионов и стран;  исследование, разработка и коммерциализация умных экологических городов, их основных комплексов, структур, систем, элементов и компонентов;  исследование, разработка и коммерциализация интегрированных инновационных систем, инновационных кластеров, исследовательских и технологических парков;  исследование, разработка и коммерциализация экологичной инфраструктуры инновационных эко-городов, застроек, кварталов, комплексов и отдельных зданий;  исследование, разработка и коммерциализация интеллектуальной инфраструктуры инновационного эко- города, высокотехнологичного городского комплекса;  исследование, разработка и коммерциализация интегрированных интеллектуальных инженерных, оптических телекоммуникационных и возобновляемых энергетических сетей;  исследование, разработка и коммерциализация виртуального многомерного проектирования городского пространства, объектов гражданского и промышленного строительства, интеллектуальных инженерных сетей и коммуникаций;  исследование, разработка и коммерциализация интеллектуальных информационных моделей, систем, услуг и технологий;  исследование, разработка и коммерциализация интеллектуальных компьютерных моделей, систем, услуг и технологий;  исследование, разработка и коммерциализация универсальных систем научного и технологического знания;  исследование, разработка и коммерциализация интеллектуальных энциклопедически систем в форме физических роботов, виртуальных интернет систем и компьютерных программ;  исследование, разработка и коммерциализация будущих интернет технологий и семантических сетей.
  • 20. GLOBAL COOPERATION  EIS Encyclopedic Intelligent Systems Limited Company, Moscow, Skolkovo Innovation Center Participant, is a valid owner and creator of the Intelligent World Content Products, which are under copyright, trademarks, trade secrets or know-how.  EIS Ltd is open for a global cooperation to design, develop, and distribute the ENCYCLOPEDIC INTELLIGENCE of different scales and kinds, from smart sustainable communities to intelligent information technologies and computing knowledge applications, as above.  The company is planning to grant brand licences under intellectual property laws to authorize a use for its Intelligent Intangible Assets to prospective partners, to develop the EIS Platform systems, applications and services as above.  Considering the type of legal entities and the form of knowledge transfer, the scale of cooperation and the scope of territories, the terms and conditions, knowledge transfer fees, royalties, and renewal provisions will have been properly stipulated, including other specifications and limitations deemed vital to the licensor.  Below is an example of the licensed product process steps:  Licensor is informed by a prospective partner on the product categories to be licensed  Licensor negotiates a knowledge transfer license and fees with the best licensees  Licensees develop concepts, prototypes and final production samples and submit for approval  Licensor approves licensed products for public development, software coding and programming, and commercial sale  Licensees sell licensed knowledge products or intelligent services In all, the forms of cooperation involve consultancy, licensing, cooperative R&D or contract R&D agreements, and spin-offs.
  • 21. WORLD KNOWLEDGE TRANSFER PACKAGE  INTELLIGENT WORLD’S CONTENT FOR SMART CYBER-PHYSICAL ECOSYSTEMS, KNOWLEDGE TECHNOLOGIES, GLOBAL INTELLIGENT NETWORKS, AND LARGE AI APPLICATIONS  ONTOPEDIA™: The World Encyclopedia, a Global Ontology of the World, Total Schema of Things, and Knowledge Web Graph  TOTAL ENCYCLOPEDIA: Wikipedia + Wordnet + Britannica  Contact: ontopaedia@gmail.com GESS™: GLOBAL ENTITY SEARCH SYSTEM™: GLOBAL KNOWLEDGE GRAPH: Smart Web Search Schema/Intelligent Search for the Internet of Everything and Smart Web of Entities  Contact: ontopaedia@gmail.com BIG SCIENCE: Integrated Science and Technology, Arts and Philosophy  Contact: ontopaedia@gmail.com  TOTAL KNOWLEDGE BASES  Contact: ontopaedia@gmail.com  USE CASES:  I. MEDICAL ONTOLOGY: MEDICINE, DISEASES, and DRUGS  MEDICINE  DIAGNOSIS, DISEASE, AND TREATMENT  DRUGS, MEDICINES, AND MEDICATION  II. COMMERCIAL ONTOLOGY: BUSINESS OR COMMERCE  BUSINESS LAW  BUSINESS ORGANIZATION, ENTERPRISE  MARKET  MARKETING  INDUSTRY  INDUSTRY AND PRODUCT CLASSIFICATION SCHEMAS  III. GEOGRAPHIC ONTOLOGY: COUNTRIES, NATIONS, AND PEOPLES  COUNTRY  WORLD CONTINENTS AND WORLD COUNTRIES
  • 22. CONTACT  ООО "Энциклопедические Интеллектуальные Системы“(Moscow/Russia)  Skolkovo Innovation Center Participant  EIS Encyclopedic Intelligent Systems Ltd (EU)  Dr Azamat Sh. Abdoullaev, Managing Director  Тел.: 456 10 35; 453 26 00; Int.: + 357 99 683 849  E-mail: ontopaedia@gmail.com;  Internet Sites: http://iiisyla.livejournal.com  PROJECT:ENCYCLOPEDIC INTELLIGENCE PLATFORM (EIS PLATFORM)