SlideShare una empresa de Scribd logo
1 de 83
Lecture 6 Ontology and  the Semantic Web
The problem of ontology ,[object Object]
Consider how the human mind ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
understanding how computers can effect the same sort of integration is a difficult problem
A new silver bullet
The Semantic Web ,[object Object],[object Object]
Tim Berners-Lee, inventor of the internet ,[object Object]
Tim Berners-Lee: ,[object Object],[object Object]
Exploiting tools such as: ,[object Object],[object Object],[object Object],[object Object]
Ebiquity Publication Ontology http://ebiquity.umbc.edu/ontology/publication.owl ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: The Enterprise Ontology ,[object Object],[object Object],[object Object]
Assumptions ,[object Object],[object Object],[object Object]
Computational tractability ,[object Object],[object Object],[object Object],[object Object]
Philosophical issues about classes and instances ,[object Object],[object Object],[object Object],[object Object],[object Object]
Clay Shirky ,[object Object],[object Object]
Lewis Carroll ,[object Object],[object Object]
the promise of the Semantic Web ,[object Object]
most of the data we use in our everyday lives is not amenable to recombination in syllogistic form ,[object Object],[object Object]
The Semantic Web Initiative ,[object Object],[object Object]
How resolve incompatibilities? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Merging Databases ,[object Object],[object Object],[object Object]
XML-syntax does not help ,[object Object]
XML-syntax does not help ,[object Object]
even with correct XML-syntax: ,[object Object],Is "Jules" the first name of the person, or of the  business-card?
even with correct XML-syntax: ,[object Object],Is Jules or Newco the member of XTC Group?
even with correct XML-syntax: ,[object Object],[object Object],Do the phone numbers and address belong to Jules or to the business?
Clay Shirkey: ,[object Object],[object Object]
Problem 1: People lie ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problem 2: People are lazy ,[object Object]
Problem 3: People are stupid ,[object Object],[object Object],[object Object],[object Object]
Problem 4: Multiple descriptions ,[object Object],[object Object]
Problem 5: Ontology Impedance ,[object Object],[object Object],[object Object]
Both solutions fail ,[object Object],[object Object],[object Object]
Clay Shirkey: Let a million lite ontologies bloom ,[object Object]
Schemaweb ontologies (originally at http://www.w3.org/) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],blooming lite ontologies good for some things; but
[object Object],[object Object],from  Handbook of Ontology ( Semantic Web  approach)
from:  Ontological Engineering (Semantic Web approach) ,[object Object],[object Object],[object Object]
We will be able to use ontologies to help us share data only if ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A new approach ,[object Object],[object Object]
Compare science ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Semantic Web: moving in the right direction ,[object Object],[object Object],[object Object],*see e.g. http://tinyurl.com/ydc5l4o
Goal: ,[object Object],[object Object]
the needed upper level ontology ,[object Object],[object Object],[object Object],[object Object],[object Object]
alternative frameworks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
the goal is to reach a situation  ,[object Object]
Candidate Upper-Level Integrating Ontologies ,[object Object],[object Object],[object Object],[object Object]
The Background of Cyc ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Some problems with Cyc
[object Object],[object Object],[object Object],[object Object],Some problems with Cyc
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Some problems with Cyc
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Some problems with Cyc
[object Object],Some problems with Cyc upper level
[object Object],[object Object],[object Object],[object Object],why Cyc cannot do the job of providing a shared upper level
SUMO: Suggested Upper Merged Ontology with thanks to Adam Pease [email_address] http://www.articulatesoftware.com
Suggested Upper Merged Ontology ,[object Object],[object Object],[object Object]
SUMO Structure Structural Ontology Base Ontology Set/Class Theory Numeric Temporal Mereotopology Graph Measure Processes Objects Qualities
SUMO+Domain Ontologies Total Terms  Total Axioms   Rules  20399    67108  2500 Structural Ontology Base Ontology Set/Class Theory Numeric Temporal Mereotopology Graph Measure Processes Objects Qualities SUMO Mid-Level Military Geography Elements Terrorist  Attack Types Communications People Transnational Issues Financial Ontology Terrorist Economy NAICS Terrorist Attacks … France Afghanistan UnitedStates Distributed Computing Biological Viruses WMD ECommerce Services Government Transportation World Airports
    entity              physical             abstract                  quantity                       number                            real number                                 rational number                                 irrational number                                 nonnegative real number                                 negative real number                                 binary number                            imaginary number                            complex number                       physical quantity                  attribute                  set or class                  relation                  proposition                  graph                  graph element
 
    entity               physical                    object                    process                         dual object process                         intentional process                              intentional psychological process                              recreation or exercise                              organizational process                              guiding                              keeping                              maintaining                              repairing                              poking                              content development                              making                                   constructing                                   manufacture                                       cooking                              searching                              social interaction                              maneuver                         motion                         internal change                         shape change               abstract
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],entity            physical                   process                         intentional process                              intentional psychological process                              recreation or exercise                              organizational process                              guiding                              keeping                              maintaining                              repairing                              poking                              content development
Subclass Hierarchy Tree     entity               physical                    object                         self connected object                              substance                              corpuscular object                                   organic object                                        organism                                             plant                                                  flowering plant                                                  non flowering plant                                                       fungus                                                       moss                                                       fern                                             animal                                             microorganism                                             toxic organism                                      
Subclass Hierarchy Tree     entity               physical                    object                         self connected object                              substance                              corpuscular object                                   organic object                                        organism                                             plant                                                  flowering plant                                                  non flowering plant                                                       fungus                                                       moss                                                       fern                                             animal                                             microorganism                                             toxic organism                                       Corpuscular Object =def. A Self Connected Object whose parts have properties that are not shared by the whole.")
advantages of SUMO ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
problems with SUMO as Upper-Level ,[object Object],[object Object],[object Object],[object Object]
DOLCE:  Descriptive Ontology for Linguistic and Cognitive Engineering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DOLCE taxonomy  Q Quality PQ Physical Quality AQ Abstract Quality TQ Temporal Quality PD Perdurant EV Event STV Stative ACH Achievement ACC Accomplishment ST State PRO Process PT Particular R Region PR Physical Region AR Abstract Region TR Temporal Region T Time Interval S Space Region AB Abstract Set Fact … … … … TL Temporal Location SL Spatial Location … … … ASO Agentive Social Object NASO Non-agentive Social Object SC Society  MOB Mental Object SOB Social Object F Feature POB Physical Object NPOB Non-physical Object PED Physical Endurant NPED Non-physical Endurant ED Endurant SAG Social Agent  APO Agentive  Physical  Object NAPO Non-agentive Physical  Object … AS Arbitrary Sum M Amount of Matter … … … …
DOLCE taxonomy  Q Quality PQ Physical Quality AQ Abstract Quality TQ Temporal Quality PD Perdurant EV Event STV Stative ACH Achievement ACC Accomplishment ST State PRO Process PT Particular R Region PR Physical Region AR Abstract Region TR Temporal Region T Time Interval S Space Region AB Abstract Set Fact … … … … TL Temporal Location SL Spatial Location … … … ASO Agentive Social Object NASO Non-agentive Social Object SC Society  MOB Mental Object SOB Social Object F Feature POB Physical Object NPOB Non-physical Object PED Physical Endurant NPED Non-physical Endurant ED Endurant SAG Social Agent  APO Agentive  Physical  Object NAPO Non-agentive Physical  Object … AS Arbitrary Sum M Amount of Matter … … … …
DOLCE taxonomy
DOLCE taxonomy
DOLCE taxonomy
1 - The physical view (= one of many views) ,[object Object],[object Object]
2 -   The  cognitive view ,[object Object],[object Object],[object Object],[object Object],[object Object],is this consistent with common sense?
DOLCE’s Multiplicative Ontology ,[object Object],[object Object],[object Object],[object Object]
Substitutivity Tests ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DOLCE embraces abstract (non-physical) entities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of DOLCE ,[object Object],[object Object],[object Object]
Problem with DOLCE ,[object Object],[object Object],[object Object],[object Object]
Basic Formal Ontology as alternative (as subset of DOLCE and SUMO)? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BFO Continuant Occurrent (Process) Independent Continuant Dependent Continuant .....  .....  ........
BFO Continuant Occurrent (Process) Independent Continuant ( molecule,  cell, organ, organism )   Dependent Continuant ( quality,  function, disease ) Functioning Side-Effect,  Stochastic  Process, ... .....  .....  ....  .....

Más contenido relacionado

La actualidad más candente

Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.
Janet Leu
 
Making working thesauri
Making working thesauriMaking working thesauri
Making working thesauri
liddy
 
Hypertext
HypertextHypertext
Hypertext
natlo
 

La actualidad más candente (18)

Ontology
OntologyOntology
Ontology
 
Ontologies and semantic web
Ontologies and semantic webOntologies and semantic web
Ontologies and semantic web
 
Semantic Web: introduction & overview
Semantic Web: introduction & overviewSemantic Web: introduction & overview
Semantic Web: introduction & overview
 
Semantic Web in Action: Ontology-driven information search, integration and a...
Semantic Web in Action: Ontology-driven information search, integration and a...Semantic Web in Action: Ontology-driven information search, integration and a...
Semantic Web in Action: Ontology-driven information search, integration and a...
 
Build Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageBuild Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
Build Narratives, Connect Artifacts: Linked Open Data for Cultural Heritage
 
Taking Advantage of Semantic Web
Taking Advantage of Semantic WebTaking Advantage of Semantic Web
Taking Advantage of Semantic Web
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.Taxonomy, ontology, folksonomies & SKOS.
Taxonomy, ontology, folksonomies & SKOS.
 
Knowledge graphs on the Web
Knowledge graphs on the WebKnowledge graphs on the Web
Knowledge graphs on the Web
 
Jarrar: The Next Generation of the Web 3.0: The Semantic Web
Jarrar: The Next Generation of the Web 3.0: The Semantic WebJarrar: The Next Generation of the Web 3.0: The Semantic Web
Jarrar: The Next Generation of the Web 3.0: The Semantic Web
 
Ontology
Ontology Ontology
Ontology
 
Making working thesauri
Making working thesauriMaking working thesauri
Making working thesauri
 
Brief State of the Art - Semantic Web technologies for geospatial data - Mode...
Brief State of the Art - Semantic Web technologies for geospatial data - Mode...Brief State of the Art - Semantic Web technologies for geospatial data - Mode...
Brief State of the Art - Semantic Web technologies for geospatial data - Mode...
 
Introduction of Knowledge Graphs
Introduction of Knowledge GraphsIntroduction of Knowledge Graphs
Introduction of Knowledge Graphs
 
SemTecBiz 2012: Corporate Semantic Web
SemTecBiz 2012: Corporate Semantic WebSemTecBiz 2012: Corporate Semantic Web
SemTecBiz 2012: Corporate Semantic Web
 
Hypertext
HypertextHypertext
Hypertext
 
Folksonomies: a bottom-up social categorization system
Folksonomies: a bottom-up social categorization systemFolksonomies: a bottom-up social categorization system
Folksonomies: a bottom-up social categorization system
 
Annotating for Individual experiences
Annotating for Individual experiencesAnnotating for Individual experiences
Annotating for Individual experiences
 

Similar a The Semantic Web

WTF is the Semantic Web
WTF is the Semantic WebWTF is the Semantic Web
WTF is the Semantic Web
Juan Sequeda
 
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
ajai
 
Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011
sssw2011
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
guest4513a7
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
Mediabistro
 
Introduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersIntroduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS Practitioners
Emanuele Della Valle
 
Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?
Museums Computer Group
 
Using the Semantic Web, and Contributing to it
Using the Semantic Web, and Contributing to itUsing the Semantic Web, and Contributing to it
Using the Semantic Web, and Contributing to it
Mathieu d'Aquin
 
Metadata first, ontologies second
Metadata first, ontologies secondMetadata first, ontologies second
Metadata first, ontologies second
Joseba Abaitua
 

Similar a The Semantic Web (20)

Sweo talk
Sweo talkSweo talk
Sweo talk
 
Web3uploaded
Web3uploadedWeb3uploaded
Web3uploaded
 
The Semantic Web
The Semantic WebThe Semantic Web
The Semantic Web
 
WTF is the Semantic Web
WTF is the Semantic WebWTF is the Semantic Web
WTF is the Semantic Web
 
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
From bit-streams-to-life-streams-ajai-narendran-srishti-bangalore-stff-2011
 
Web 3.0 explained with a stamp (pt II: techniques)
Web 3.0 explained with a stamp (pt II: techniques)Web 3.0 explained with a stamp (pt II: techniques)
Web 3.0 explained with a stamp (pt II: techniques)
 
Semantic Web: A web that is not the Web
Semantic Web: A web that is not the WebSemantic Web: A web that is not the Web
Semantic Web: A web that is not the Web
 
Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011Jim Hendler's Presentation at SSSW 2011
Jim Hendler's Presentation at SSSW 2011
 
Patterns of Semantic Integration
Patterns of Semantic IntegrationPatterns of Semantic Integration
Patterns of Semantic Integration
 
The Semantic Web An Introduction
The Semantic Web An IntroductionThe Semantic Web An Introduction
The Semantic Web An Introduction
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
 
Web 3 Expert System
Web 3 Expert SystemWeb 3 Expert System
Web 3 Expert System
 
"Why the Semantic Web will Never Work" (note the quotes)
"Why the Semantic Web will Never Work"  (note the quotes)"Why the Semantic Web will Never Work"  (note the quotes)
"Why the Semantic Web will Never Work" (note the quotes)
 
Introduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS PractitionersIntroduction to Semantic Web for GIS Practitioners
Introduction to Semantic Web for GIS Practitioners
 
Web of data
Web of dataWeb of data
Web of data
 
Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?Lee Iverson - How does the web connect content?
Lee Iverson - How does the web connect content?
 
Using the Semantic Web, and Contributing to it
Using the Semantic Web, and Contributing to itUsing the Semantic Web, and Contributing to it
Using the Semantic Web, and Contributing to it
 
Web 3 0
Web 3 0 Web 3 0
Web 3 0
 
Introduction to Social Bookmarking
Introduction to Social BookmarkingIntroduction to Social Bookmarking
Introduction to Social Bookmarking
 
Metadata first, ontologies second
Metadata first, ontologies secondMetadata first, ontologies second
Metadata first, ontologies second
 

Más de Barry Smith

The Division of Deontic Labor
The Division of Deontic LaborThe Division of Deontic Labor
The Division of Deontic Labor
Barry Smith
 
e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...
Barry Smith
 
Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)
Barry Smith
 

Más de Barry Smith (20)

Towards an Ontology of Philosophy
Towards an Ontology of PhilosophyTowards an Ontology of Philosophy
Towards an Ontology of Philosophy
 
An application of Basic Formal Ontology to the Ontology of Services and Commo...
An application of Basic Formal Ontology to the Ontology of Services and Commo...An application of Basic Formal Ontology to the Ontology of Services and Commo...
An application of Basic Formal Ontology to the Ontology of Services and Commo...
 
Ways of Worldmarking: The Ontology of the Eruv
Ways of Worldmarking: The Ontology of the EruvWays of Worldmarking: The Ontology of the Eruv
Ways of Worldmarking: The Ontology of the Eruv
 
The Division of Deontic Labor
The Division of Deontic LaborThe Division of Deontic Labor
The Division of Deontic Labor
 
Ontology of Aging (August 2014)
Ontology of Aging (August 2014)Ontology of Aging (August 2014)
Ontology of Aging (August 2014)
 
Meaningful Use
Meaningful UseMeaningful Use
Meaningful Use
 
The Fifth Cycle of Philosophy
The Fifth Cycle of PhilosophyThe Fifth Cycle of Philosophy
The Fifth Cycle of Philosophy
 
Ontology of Poker
Ontology of PokerOntology of Poker
Ontology of Poker
 
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...
 
Enhancing the Quality of ImmPort Data
Enhancing the Quality of ImmPort DataEnhancing the Quality of ImmPort Data
Enhancing the Quality of ImmPort Data
 
The Philosophome: An Exercise in the Ontology of the Humanities
The Philosophome: An Exercise in the Ontology of the HumanitiesThe Philosophome: An Exercise in the Ontology of the Humanities
The Philosophome: An Exercise in the Ontology of the Humanities
 
IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
IAO-Intel: An Ontology of Information Artifacts in the Intelligence DomainIAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain
 
Science of Emerging Social Media
Science of Emerging Social MediaScience of Emerging Social Media
Science of Emerging Social Media
 
Ethics, Informatics and Obamacare
Ethics, Informatics and ObamacareEthics, Informatics and Obamacare
Ethics, Informatics and Obamacare
 
e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...e‐Human Beings: The contribution of internet ranking systems to the developme...
e‐Human Beings: The contribution of internet ranking systems to the developme...
 
Ontology of aging and death
Ontology of aging and deathOntology of aging and death
Ontology of aging and death
 
Ontology in-buffalo-2013
Ontology in-buffalo-2013Ontology in-buffalo-2013
Ontology in-buffalo-2013
 
ImmPort strategies to enhance discoverability of clinical trial data
ImmPort strategies to enhance discoverability of clinical trial dataImmPort strategies to enhance discoverability of clinical trial data
ImmPort strategies to enhance discoverability of clinical trial data
 
Ontology of Documents (2005)
Ontology of Documents (2005)Ontology of Documents (2005)
Ontology of Documents (2005)
 
Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)Ontology and the National Cancer Institute Thesaurus (2005)
Ontology and the National Cancer Institute Thesaurus (2005)
 

Último

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Último (20)

Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 

The Semantic Web

  • 1. Lecture 6 Ontology and the Semantic Web
  • 2.
  • 3.
  • 4. understanding how computers can effect the same sort of integration is a difficult problem
  • 5. A new silver bullet
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 56. SUMO: Suggested Upper Merged Ontology with thanks to Adam Pease [email_address] http://www.articulatesoftware.com
  • 57.
  • 58. SUMO Structure Structural Ontology Base Ontology Set/Class Theory Numeric Temporal Mereotopology Graph Measure Processes Objects Qualities
  • 59. SUMO+Domain Ontologies Total Terms Total Axioms Rules 20399 67108 2500 Structural Ontology Base Ontology Set/Class Theory Numeric Temporal Mereotopology Graph Measure Processes Objects Qualities SUMO Mid-Level Military Geography Elements Terrorist Attack Types Communications People Transnational Issues Financial Ontology Terrorist Economy NAICS Terrorist Attacks … France Afghanistan UnitedStates Distributed Computing Biological Viruses WMD ECommerce Services Government Transportation World Airports
  • 60.    entity           physical           abstract                quantity                     number                          real number                               rational number                               irrational number                               nonnegative real number                               negative real number                               binary number                          imaginary number                          complex number                     physical quantity                attribute                set or class                relation                proposition                graph                graph element
  • 61.  
  • 62.    entity           physical                object                process                     dual object process                     intentional process                          intentional psychological process                          recreation or exercise                          organizational process                          guiding                          keeping                          maintaining                          repairing                          poking                          content development                          making                               constructing                               manufacture                                 cooking                          searching                          social interaction                          maneuver                     motion                     internal change                     shape change           abstract
  • 63.
  • 64. Subclass Hierarchy Tree    entity           physical                object                     self connected object                          substance                          corpuscular object                               organic object                                    organism                                         plant                                              flowering plant                                              non flowering plant                                                   fungus                                                   moss                                                   fern                                         animal                                         microorganism                                         toxic organism                                   
  • 65. Subclass Hierarchy Tree    entity           physical                object                     self connected object                          substance                          corpuscular object                               organic object                                    organism                                         plant                                              flowering plant                                              non flowering plant                                                   fungus                                                   moss                                                   fern                                         animal                                         microorganism                                         toxic organism                                    Corpuscular Object =def. A Self Connected Object whose parts have properties that are not shared by the whole.")
  • 66.
  • 67.
  • 68.
  • 69. DOLCE taxonomy Q Quality PQ Physical Quality AQ Abstract Quality TQ Temporal Quality PD Perdurant EV Event STV Stative ACH Achievement ACC Accomplishment ST State PRO Process PT Particular R Region PR Physical Region AR Abstract Region TR Temporal Region T Time Interval S Space Region AB Abstract Set Fact … … … … TL Temporal Location SL Spatial Location … … … ASO Agentive Social Object NASO Non-agentive Social Object SC Society MOB Mental Object SOB Social Object F Feature POB Physical Object NPOB Non-physical Object PED Physical Endurant NPED Non-physical Endurant ED Endurant SAG Social Agent APO Agentive Physical Object NAPO Non-agentive Physical Object … AS Arbitrary Sum M Amount of Matter … … … …
  • 70. DOLCE taxonomy Q Quality PQ Physical Quality AQ Abstract Quality TQ Temporal Quality PD Perdurant EV Event STV Stative ACH Achievement ACC Accomplishment ST State PRO Process PT Particular R Region PR Physical Region AR Abstract Region TR Temporal Region T Time Interval S Space Region AB Abstract Set Fact … … … … TL Temporal Location SL Spatial Location … … … ASO Agentive Social Object NASO Non-agentive Social Object SC Society MOB Mental Object SOB Social Object F Feature POB Physical Object NPOB Non-physical Object PED Physical Endurant NPED Non-physical Endurant ED Endurant SAG Social Agent APO Agentive Physical Object NAPO Non-agentive Physical Object … AS Arbitrary Sum M Amount of Matter … … … …
  • 74.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79.
  • 80.
  • 81.
  • 82. BFO Continuant Occurrent (Process) Independent Continuant Dependent Continuant ..... ..... ........
  • 83. BFO Continuant Occurrent (Process) Independent Continuant ( molecule, cell, organ, organism ) Dependent Continuant ( quality, function, disease ) Functioning Side-Effect, Stochastic Process, ... ..... ..... .... .....

Notas del editor

  1. http://www.shirky.com/writings/semantic_syllogism.html
  2. *http://ontoweb.aifb.uni-karlsruhe.de/About/Deliverables/ontoweb-del-7.6-swws1.pdf
  3. http://www2003.org/cdrom/papers/refereed/p779/guha-779-img1.png