Ideas around OpenGraph protocol and RDFa usage with some possible future directions.
It’s all around the Social Object.
Padua University - Italy - A lesson in the “Tecnologie Web2.0” course thanks to Massimo Marchiori - http://www.math.unipd.it/~tecweb2/
At the end there are some clues about possible connections between Semantic Web tools and the VRM ( Vendor Relationship Management ) vision as the future of the Net using the full potential of the Web platform.
Facebook is developing the Open Graph to map user interests and connections between users and content across the web. Through plugins like Like and Activity Feed, any website can integrate with Facebook so that user actions are shared to profiles. This creates a "portable user" where preferences and friends travel with users online. The Open Graph could allow personalized experiences across the web and challenge Google's search dominance by offering personalized results based on social connections. However, some privacy and control concerns exist if users do not want to share data with Facebook or give up control of login processes.
Social Semantic Web (Social Activity and Facebook)Myungjin Lee
The document discusses the concept of a Social Semantic Web (SSW). It describes how social networks like Facebook have begun to incorporate semantic data through initiatives like Open Graph that allow objects and actions to be defined and shared. This lays the foundation to map social graph data to semantic vocabularies and ontologies, thereby linking decentralized social data on the web. The integration of social interactions with semantic representations enables new, semantically-aware applications and services to leverage collective human contributions on the social web.
Facebook is developing the Open Graph to map user interests and connections between users and content across the web. Through plugins like Like and Activity Feed, any website can integrate with Facebook so that user actions are shared to profiles. This will allow for personalized recommendations and experiences based on a user's social graph. However, some privacy and control concerns exist as users may not want all activity logged to Facebook, and companies may not want to lose control over their own communities and user data. Competitors like Google and Twitter may also respond to Facebook's move to integrate more deeply with the wider web.
Social Semantic Web on Facebook Open Graph protocol and Twitter AnnotationsMyungjin Lee
This Presentation show what the Social Semantic Web is and how Facebook Open Graph protocol and Twitter Annotations colligate with the Social Semantic Web.
The document discusses the Social Semantic Web and related technologies. It provides an overview of the growth of social networks and user-generated content online. It then discusses how semantic technologies can help connect isolated social communities and their data by adding machine-readable metadata. Key topics covered include the Semantic Web stack, linked data, ontologies for modeling social data like FOAF and SIOC, and applications like distributed identity and social recommendations.
SocialOverlay : P2P Infrastructure for social NetworksBipin
This document proposes a social overlay peer-to-peer (P2P) infrastructure to integrate social networks and leverage social relationships to improve search. It outlines problems with current search not utilizing relationships between people and content. The system architecture includes a user interface, social network middleware layer, and wrappers to integrate with existing systems. It generates a unified FOAF profile from different sites and models relationships as a social content graph. The social overlay manages social ties between peers and identities across sites to resolve queries using multiple social clusters.
The Social Semantic Web: An IntroductionJohn Breslin
The document discusses leveraging semantics on social networks to address issues with existing disconnected social media sites. It describes how using common semantic formats like FOAF, SIOC and XFN/hCard to describe users, content and connections could allow interoperability between sites and alleviate problems like having separate profiles on different networks. Social networks could also serve as data sources for semantic applications if they describe objects and relationships in standardized ways.
The document provides an overview of social semantics and the social semantic web. It discusses how social data on platforms like Facebook and Twitter can be represented semantically using ontologies and vocabularies. This includes representing people with FOAF, relationships with Schema.org, content with SIOC, and behavior with OUBO. Representing social data semantically allows it to be queried, linked across platforms, and analyzed with semantic web technologies. The social semantic web aims to overcome the siloed nature of social data and enable portability of social information.
Facebook is developing the Open Graph to map user interests and connections between users and content across the web. Through plugins like Like and Activity Feed, any website can integrate with Facebook so that user actions are shared to profiles. This creates a "portable user" where preferences and friends travel with users online. The Open Graph could allow personalized experiences across the web and challenge Google's search dominance by offering personalized results based on social connections. However, some privacy and control concerns exist if users do not want to share data with Facebook or give up control of login processes.
Social Semantic Web (Social Activity and Facebook)Myungjin Lee
The document discusses the concept of a Social Semantic Web (SSW). It describes how social networks like Facebook have begun to incorporate semantic data through initiatives like Open Graph that allow objects and actions to be defined and shared. This lays the foundation to map social graph data to semantic vocabularies and ontologies, thereby linking decentralized social data on the web. The integration of social interactions with semantic representations enables new, semantically-aware applications and services to leverage collective human contributions on the social web.
Facebook is developing the Open Graph to map user interests and connections between users and content across the web. Through plugins like Like and Activity Feed, any website can integrate with Facebook so that user actions are shared to profiles. This will allow for personalized recommendations and experiences based on a user's social graph. However, some privacy and control concerns exist as users may not want all activity logged to Facebook, and companies may not want to lose control over their own communities and user data. Competitors like Google and Twitter may also respond to Facebook's move to integrate more deeply with the wider web.
Social Semantic Web on Facebook Open Graph protocol and Twitter AnnotationsMyungjin Lee
This Presentation show what the Social Semantic Web is and how Facebook Open Graph protocol and Twitter Annotations colligate with the Social Semantic Web.
The document discusses the Social Semantic Web and related technologies. It provides an overview of the growth of social networks and user-generated content online. It then discusses how semantic technologies can help connect isolated social communities and their data by adding machine-readable metadata. Key topics covered include the Semantic Web stack, linked data, ontologies for modeling social data like FOAF and SIOC, and applications like distributed identity and social recommendations.
SocialOverlay : P2P Infrastructure for social NetworksBipin
This document proposes a social overlay peer-to-peer (P2P) infrastructure to integrate social networks and leverage social relationships to improve search. It outlines problems with current search not utilizing relationships between people and content. The system architecture includes a user interface, social network middleware layer, and wrappers to integrate with existing systems. It generates a unified FOAF profile from different sites and models relationships as a social content graph. The social overlay manages social ties between peers and identities across sites to resolve queries using multiple social clusters.
The Social Semantic Web: An IntroductionJohn Breslin
The document discusses leveraging semantics on social networks to address issues with existing disconnected social media sites. It describes how using common semantic formats like FOAF, SIOC and XFN/hCard to describe users, content and connections could allow interoperability between sites and alleviate problems like having separate profiles on different networks. Social networks could also serve as data sources for semantic applications if they describe objects and relationships in standardized ways.
The document provides an overview of social semantics and the social semantic web. It discusses how social data on platforms like Facebook and Twitter can be represented semantically using ontologies and vocabularies. This includes representing people with FOAF, relationships with Schema.org, content with SIOC, and behavior with OUBO. Representing social data semantically allows it to be queried, linked across platforms, and analyzed with semantic web technologies. The social semantic web aims to overcome the siloed nature of social data and enable portability of social information.
Interlinking Online Communities and Enriching Social Software with the Semant...John Breslin
This document summarizes a presentation about interlinking online communities using Semantic Web technologies. It discusses:
1. The SIOC (Semantically-Interlinked Online Communities) project which aims to semantically connect online discussion sites through a common data model.
2. How SIOC represents the structure and content of communities using RDF properties and classes. Communities can then exchange and query data using common semantics.
3. Tools that export community data into RDF using SIOC, including for WordPress, vBulletin, and phpBB. This allows interlinking users, content, and activities across sites.
Semantic Web 2.0: Creating Social Semantic Information SpacesJohn Breslin
This tutorial provides an overview of applying Semantic Web technologies to emerging Web 2.0 applications and social media to create "Social Semantic Information Spaces." It discusses adding semantics to blogs, wikis, forums, and social networks through standards like RDF and ontologies. The goal is to overcome limitations of these applications and enable more automated information sharing and discovery across interconnected sites and communities.
17 February 2010, "Building and Maintaining Genealogical Websites." North Carolina Chapter of the Association of Professional Genealogists, Raleigh, NC.
This is an overview of tasks and considerations for creating and managing genealogical websites, both for amateur and professional genealogists.
FOR PERSONAL USE ONLY.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
This was a lecture I presented at Professor Stuart Madnick's class, "Evolution Towards Web 3.0" at the MIT Sloan School of Management on April 21, 2011. Please follow along with the speaker notes which add significant commentary to the slides.
The Tenure Track Dream Team presentation by Ines Mergel: "Why academics should tweet and blog too!", 10/08/2010 for PhD students and Postdocs at Syracuse University's Future Professorial Program, SU's Graduate Career Center and Graduate School
Social mediaprogramming part2-java-jax-londonKhanderao Kand
The document provides an overview of social media programming and technologies. It discusses key APIs and frameworks for interfacing with popular social media like Facebook, Twitter, Google+, and standards like OAuth, OpenID, REST, and JSON. It also covers technologies for processing large social media data using databases like CouchDB, MongoDB, Cassandra, HBase, and frameworks for building distributed applications on Hadoop. Finally, it requests feedback and offers to share more details on social media and recommendation products and services.
Hyperlink Formation in Social Bookmarking Systems: Who is Who Online?BO TRUE ACTIVITIES SL
Social bookmarking systems attract researchers in information systems and social sciences because they offer an enormous quantity of user-generated annotations that reveal the interests of millions of people. In this paper, we explore a different viewpoint to gain an understanding of the social bookmarking systems.
Using data crawled from a large social tagging system we argue that the prominence of a website, as measured by its status or public recognition, also determines its centrality.
To test this hypothesis we predict the indexes of authority and other measures of centrality via Social Network Analysis. We also use Gephi to visualize the networks, and analyze the structure.
The results discussed in the paper come from a sample of 61,043 taggings that involved 3,668 users and 4,913 bookmarked websites from a specific Social Network Sites, Delicious, on the subject of globalization of agriculture.
We find that mass media companies have a competitive advantage in attracting links and user attention.
Social Web Course @VU Amsterdam: Final Student PresentationsLora Aroyo
The document describes a student presentation on finding student housing in Amsterdam using various social web data sources. The project retrieves housing and venue data from sources like Amsterdam Open Data and Foursquare to provide an overview of student housing locations and surrounding amenities on a map. Additional features include using Facebook data to show likes of nearby venues and storing housing data in a MySQL database.
Data Accessibility and Me: Introducing SIOC, FOAF and the Linked Data WebJohn Breslin
The document discusses the need for data portability across social media services so that users can access all of their data in one place. It proposes using semantic web technologies like FOAF, SIOC, and linked data to connect user profiles and content across different sites and applications. This would allow users to access and reference their data from any service, as well as see all of their information as part of the larger web of linked data. The document outlines some existing initiatives and technologies that could be used to achieve this goal of universal data access and portability.
This document provides an overview of the evolution of the World Wide Web from Web 1.0 to present-day Web 2.0 and predictions about future developments in Web 3.0. It describes key characteristics of Web 1.0, the rise of Web 2.0 principles like using the web as a platform and allowing user contributions, and potential capabilities of Semantic Web technologies to enable more intelligent searching in Web 3.0.
Exploring the Use of Linked Data to Bridge State and Federal ArchivesJon Voss
The document discusses using linked data to connect archives across state and federal institutions. It describes the Civil War Data 150 Project which maps metadata from diverse Civil War-era sources into the semantic web platform Freebase to enable users to add and modify shared metadata. The project aims to increase discovery of and engagement with archival materials through crowdsourcing around the 150th anniversary of the American Civil War.
Facebook is a social networking website launched in 2004 by Mark Zuckerberg and his Harvard classmates. It allows users to create profiles, add friends, send messages, and share updates and photos. Initially only available to Harvard students, Facebook quickly expanded to other universities and later publicly. Key features were added over time, like photos, messaging, and the news feed. Facebook now has over 900 employees and hundreds of millions of users worldwide, generating hundreds of millions in revenue annually through advertising.
This document discusses the importance of social media for journalists, investors, and companies. It notes that journalists now search social media like Wikipedia, LinkedIn, YouTube, and Twitter for story ideas and information. Over 75% of institutional investors and analysts also use these sites to help make investment decisions. The document recommends that companies start blogs and have presences on sites like Twitter, Facebook, and LinkedIn to engage with customers and stakeholders. It provides examples of how large companies are using social media and notes that companies with blogs receive 97% more inbound links and 434% more indexed pages.
In this workshop (Master in Translational Medicine-MSc, University of Barcelona's Faculty of Medicine-Hospital Clínic, 14 March 2018) I summarised the benefits which can be gained from use of social media (specially blogs, Twitter and other socialnetwork sites) to support research activities, and I provided examples of these innovative emerging resources as tools for scientific communication related to translational medicine, as well as discussed their implications for digital scholarship. Structure of the lecture: Introduction, Altmetrics, Active listening, Blogging, Microblogging, Networking, Sharing, Health 2.0, Resources, The ten commandments, References To deepen, Conclusions
This document discusses Facebook's Open Graph protocol. It describes Open Graph as allowing developers to integrate apps and websites with Facebook by mapping objects outside of Facebook to graph objects inside Facebook. It provides examples of Open Graph metadata tags that can be used to define objects and connections. It also discusses the Graph API, which allows querying and retrieving Facebook graph objects and connections programmatically. Finally, it provides examples of how some companies have implemented Open Graph on their sites.
Interlinking Online Communities and Enriching Social Software with the Semant...John Breslin
This document summarizes a presentation about interlinking online communities using Semantic Web technologies. It discusses:
1. The SIOC (Semantically-Interlinked Online Communities) project which aims to semantically connect online discussion sites through a common data model.
2. How SIOC represents the structure and content of communities using RDF properties and classes. Communities can then exchange and query data using common semantics.
3. Tools that export community data into RDF using SIOC, including for WordPress, vBulletin, and phpBB. This allows interlinking users, content, and activities across sites.
Semantic Web 2.0: Creating Social Semantic Information SpacesJohn Breslin
This tutorial provides an overview of applying Semantic Web technologies to emerging Web 2.0 applications and social media to create "Social Semantic Information Spaces." It discusses adding semantics to blogs, wikis, forums, and social networks through standards like RDF and ontologies. The goal is to overcome limitations of these applications and enable more automated information sharing and discovery across interconnected sites and communities.
17 February 2010, "Building and Maintaining Genealogical Websites." North Carolina Chapter of the Association of Professional Genealogists, Raleigh, NC.
This is an overview of tasks and considerations for creating and managing genealogical websites, both for amateur and professional genealogists.
FOR PERSONAL USE ONLY.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
This was a lecture I presented at Professor Stuart Madnick's class, "Evolution Towards Web 3.0" at the MIT Sloan School of Management on April 21, 2011. Please follow along with the speaker notes which add significant commentary to the slides.
The Tenure Track Dream Team presentation by Ines Mergel: "Why academics should tweet and blog too!", 10/08/2010 for PhD students and Postdocs at Syracuse University's Future Professorial Program, SU's Graduate Career Center and Graduate School
Social mediaprogramming part2-java-jax-londonKhanderao Kand
The document provides an overview of social media programming and technologies. It discusses key APIs and frameworks for interfacing with popular social media like Facebook, Twitter, Google+, and standards like OAuth, OpenID, REST, and JSON. It also covers technologies for processing large social media data using databases like CouchDB, MongoDB, Cassandra, HBase, and frameworks for building distributed applications on Hadoop. Finally, it requests feedback and offers to share more details on social media and recommendation products and services.
Hyperlink Formation in Social Bookmarking Systems: Who is Who Online?BO TRUE ACTIVITIES SL
Social bookmarking systems attract researchers in information systems and social sciences because they offer an enormous quantity of user-generated annotations that reveal the interests of millions of people. In this paper, we explore a different viewpoint to gain an understanding of the social bookmarking systems.
Using data crawled from a large social tagging system we argue that the prominence of a website, as measured by its status or public recognition, also determines its centrality.
To test this hypothesis we predict the indexes of authority and other measures of centrality via Social Network Analysis. We also use Gephi to visualize the networks, and analyze the structure.
The results discussed in the paper come from a sample of 61,043 taggings that involved 3,668 users and 4,913 bookmarked websites from a specific Social Network Sites, Delicious, on the subject of globalization of agriculture.
We find that mass media companies have a competitive advantage in attracting links and user attention.
Social Web Course @VU Amsterdam: Final Student PresentationsLora Aroyo
The document describes a student presentation on finding student housing in Amsterdam using various social web data sources. The project retrieves housing and venue data from sources like Amsterdam Open Data and Foursquare to provide an overview of student housing locations and surrounding amenities on a map. Additional features include using Facebook data to show likes of nearby venues and storing housing data in a MySQL database.
Data Accessibility and Me: Introducing SIOC, FOAF and the Linked Data WebJohn Breslin
The document discusses the need for data portability across social media services so that users can access all of their data in one place. It proposes using semantic web technologies like FOAF, SIOC, and linked data to connect user profiles and content across different sites and applications. This would allow users to access and reference their data from any service, as well as see all of their information as part of the larger web of linked data. The document outlines some existing initiatives and technologies that could be used to achieve this goal of universal data access and portability.
This document provides an overview of the evolution of the World Wide Web from Web 1.0 to present-day Web 2.0 and predictions about future developments in Web 3.0. It describes key characteristics of Web 1.0, the rise of Web 2.0 principles like using the web as a platform and allowing user contributions, and potential capabilities of Semantic Web technologies to enable more intelligent searching in Web 3.0.
Exploring the Use of Linked Data to Bridge State and Federal ArchivesJon Voss
The document discusses using linked data to connect archives across state and federal institutions. It describes the Civil War Data 150 Project which maps metadata from diverse Civil War-era sources into the semantic web platform Freebase to enable users to add and modify shared metadata. The project aims to increase discovery of and engagement with archival materials through crowdsourcing around the 150th anniversary of the American Civil War.
Facebook is a social networking website launched in 2004 by Mark Zuckerberg and his Harvard classmates. It allows users to create profiles, add friends, send messages, and share updates and photos. Initially only available to Harvard students, Facebook quickly expanded to other universities and later publicly. Key features were added over time, like photos, messaging, and the news feed. Facebook now has over 900 employees and hundreds of millions of users worldwide, generating hundreds of millions in revenue annually through advertising.
This document discusses the importance of social media for journalists, investors, and companies. It notes that journalists now search social media like Wikipedia, LinkedIn, YouTube, and Twitter for story ideas and information. Over 75% of institutional investors and analysts also use these sites to help make investment decisions. The document recommends that companies start blogs and have presences on sites like Twitter, Facebook, and LinkedIn to engage with customers and stakeholders. It provides examples of how large companies are using social media and notes that companies with blogs receive 97% more inbound links and 434% more indexed pages.
In this workshop (Master in Translational Medicine-MSc, University of Barcelona's Faculty of Medicine-Hospital Clínic, 14 March 2018) I summarised the benefits which can be gained from use of social media (specially blogs, Twitter and other socialnetwork sites) to support research activities, and I provided examples of these innovative emerging resources as tools for scientific communication related to translational medicine, as well as discussed their implications for digital scholarship. Structure of the lecture: Introduction, Altmetrics, Active listening, Blogging, Microblogging, Networking, Sharing, Health 2.0, Resources, The ten commandments, References To deepen, Conclusions
This document discusses Facebook's Open Graph protocol. It describes Open Graph as allowing developers to integrate apps and websites with Facebook by mapping objects outside of Facebook to graph objects inside Facebook. It provides examples of Open Graph metadata tags that can be used to define objects and connections. It also discusses the Graph API, which allows querying and retrieving Facebook graph objects and connections programmatically. Finally, it provides examples of how some companies have implemented Open Graph on their sites.
Semantic web user interfaces - Do they have to be ugly?Andraz Tori
The document discusses user interfaces for the semantic web and whether they have to be ugly. It notes that while semantic web technologies provide powerful abstractions, these abstractions can be a curse for user interaction and user interfaces if they are not tailored to specific use cases. It argues that semantic web development is missing frameworks and tools to build efficient and limited interfaces that concentrate on solving particular problems rather than trying to build unified interfaces for all data.
This document provides an overview of the Jena framework for building semantic web and linked data applications. It summarizes Jena's key APIs and components, including the RDF API for creating and querying RDF models, the Ontology API for working with ontologies, ARQ for executing SPARQL queries against datasets, SDB for storing and querying RDF data in SQL databases, TDB for storing and querying RDF data locally, and Jena's rule-based inference capabilities. The document provides code examples for using each of these components.
This document provides an overview of the Semantic Web, RDF, SPARQL, and triplestores. It discusses how RDF structures and links data using subject-predicate-object triples. SPARQL is introduced as a standard query language for retrieving and manipulating data stored in RDF format. Popular triplestore implementations like Apache Jena and applications of linked data like DBPedia are also summarized.
Facebook's Open Graph allows third-party apps and websites to integrate their content and actions into a user's Facebook activity. By adding metadata to their webpages, third-parties can trigger the automatic sharing of actions like liking a recipe on a recipe website or checking into a location. This deep integration benefits both Facebook by expanding the social graph, and third-parties by driving increased traffic and engagement through viral sharing and aggregation of actions on Timelines. Open Graph aims to make sharing online actions as seamless as possible while still allowing third-party brands and messaging.
Getting started with Facebook OpenGraph APILynn Langit
This document provides an overview of Open Graph, a Facebook API that allows sharing information from applications to Facebook. It demonstrates Open Graph through examples, discusses core concepts like objects and actions, and provides steps for setting up an Open Graph application including creating a Facebook app, customizing actions and objects, and wiring the application to Open Graph. The document aims to help developers get started with Open Graph for Facebook app development.
This presentation was made for "Facebook Dev Meetup Kathmandu" held on 3rd April, 2016.
In this presentation, we talk about Facebook's Social Graph, Facebook Open Graph v2.5 and How we can use the api to build our apps. We explore the Graph API using Facebook's Graph API Explorer.
The document discusses the Open Graph API and Facebook Graph API. It provides information on social plugins, like buttons and comments that can be added to websites. It also describes how different types of Facebook data, such as users, pages, events etc. can be accessed programmatically through unique URLs. Finally, it covers authentication methods for the APIs including OAuth 2.0 and the older REST API.
Wat zijn Facebook Open Graph meta tags en hoe gebruik je ze in een Joomla website. Presentatie gegeven op 11 januari 2016 bij de Joomla Users Group (JUG) 030
"Why the Semantic Web will Never Work" (note the quotes)James Hendler
This talk refutes some criticisms of the semantic web, but also outlines some research challenges we must overcome if we are to ever realize Tim Berners-Lee's original Semantic Web vision.
This document provides an introduction to the Semantic Web, covering topics such as what the Semantic Web is, how semantic data is represented and stored, querying semantic data using SPARQL, and who is implementing Semantic Web technologies. The presentation includes definitions of key concepts, examples to illustrate technical aspects, and discussions of how the Semantic Web compares to other technologies. Major companies implementing aspects of the Semantic Web are highlighted.
The document discusses the Semantic Web as Web 3.0. It explains that while current web pages use HTML to describe structure, not meaning, the Semantic Web aims to allow computers to understand the meaning behind information by recognizing things like people, places, events. This is done through techniques like embedding semantic annotations directly into data using standards like RDFa, microformats, and querying data with SPARQL. The Semantic Web will enable new applications by making the web more machine-readable.
An introduction to Semantic Web and Linked DataFabien Gandon
Here are the steps to answer this SPARQL query against the given RDF base:
1. The query asks for all ?name values where there is a triple with predicate "name" and another triple with the same subject and predicate "email".
2. In the base, _:b is the only resource that has both a "name" and "email" triple.
3. _:b has the name "Thomas".
Therefore, the only result of the query is ?name = "Thomas".
So the result of the SPARQL query is:
?name
"Thomas"
The document discusses the Neurorganon approach to moving from neural networks to concept networks by developing a five layer architecture called Neurorganon that connects a data layer containing raw data to a presentation layer for human understanding through meta-data, conceptual, and analysis layers that transform the raw data into a graph model of concepts. Key components of the Neurorganon architecture include web, statistical, inference, indexing, acquisition, and graph engines that integrate data sources and perform functions like extraction, transformation, reasoning, and search to build a global graph of concepts.
The document discusses the evolution of the World Wide Web from its origins to the proposed Giant Global Graph (GGG). It summarizes the key stages as the World Wide Web (WWW), Web 2.0 focused on users, and proposes Web 3.0 will be personalized, decentralized sharing with specialized communities and meaningful learning through a filtered search of the semantic GGG. It outlines how the GGG will process and map data to bridge the gaps between the WWW and a standardized, categorized, multi-lingual and multi-definitional GGG.
RDFS provides primitives for defining lightweight schemas for RDF triples. It allows defining classes of resources and relations between resources, and organizing their hierarchies. RDFS defines domains and ranges for relations, and provides semantics and inference rules for reasoning about subclasses, subproperties, and types of resources.
Semantic Web, Linked Data and Education: A Perfect Fit?Mathieu d'Aquin
This document discusses how semantic web technologies like linked data are a perfect fit for education. It provides examples of how the Open University has applied linked data to connect educational resources and data from across the university. Linked data allows for flexibility, accessibility, and the ability to combine and interpret different sources of knowledge. However, challenges remain around representing rich metadata about educational purpose and interpreting resources in an educational context.
Presentation at September event for SEMPDX in Portland OR. Covering the latest on structured data markup, Open Graph, Schema.org and data markup for SEO.
The document discusses RSS feeds, mashups, and the semantic web as technologies that may help enable Web 3.0. It provides examples of RSS feeds and mashups, explaining how they work and their advantages. It also discusses the semantic web and technologies like RDF and ontologies that aim to make web content more machine-readable and enable advanced search capabilities.
Facebook now has over 800 million active users, making it the third largest "country" in the world. Businesses can use Facebook Pages to share content like status updates, photos, and videos to interact with fans. Facebook Advertising allows targeting users based on location, interests, and other factors to promote the business Page or drive traffic to other websites and apps. The Open Graph protocol enables websites to integrate their content into the Facebook social graph, turning web pages into objects that can be shared.
SMX Advanced 2012 - Catching up with the Semantic WebMatthew Brown
Matthew Brown gave a presentation on structured data and the semantic web. He began with basic definitions of structured data, linked data, and the semantic web. He then discussed current search engine capabilities and tools for working with structured data. Brown encouraged attendees to publish structured data to improve content and the user experience. He provided resources for learning more about semantic technologies and key people to follow in the field.
The document summarizes recent developments in semantic search engines. It discusses the principles of the semantic web and languages like RDF, RDFS, and OWL. It then summarizes the Falcons semantic search engine and how it indexes and searches semantic web objects. It also discusses efforts by Google, Yahoo, and Microsoft to incorporate semantic data through rich snippets, SearchMonkey, and Schema.org. Finally, it introduces the Kngine search engine as a new promising engine that aims to go beyond existing sources by indexing structured information on the web.
The Social Semantic Web: New York Times EditionJohn Breslin
The document discusses the social semantic web and how semantics can help connect isolated social media sites and data silos. It provides examples of ontologies like FOAF, SIOC, and OPO that describe social relationships and interactions. Emerging initiatives like Facebook's Open Graph and Twitter annotations aim to embed semantic metadata in social media to link profiles, content, and conversations across platforms.
The document discusses the history and design of APIs, beginning with the establishment of REST principles to provide consistency across APIs. It describes how early APIs like eBay and Flickr implemented REST and provided documentation and tools to help developers. Later sections discuss the development of OAuth to allow third-party access to data without sharing credentials, and concepts like Open Graph that allowed representing web content in a social graph. The document emphasizes that contextual factors like the intended developers and their existing knowledge should inform how new APIs are designed and documented.
DataPortability and Me: Introducing SIOC, FOAF and the Semantic WebJohn Breslin
The document discusses data portability across social media sites and proposes solutions using semantic web technologies. It introduces SIOC (Semantically-Interlinked Online Communities), FOAF (Friend-of-a-Friend), and other standards that describe social objects and relationships to allow portability of user data between sites. Existing implementations that export social data in these formats are mentioned as a way to begin connecting isolated social platforms and giving users control over their data.
This document summarizes John Breslin's presentation on the social semantic web. It discusses how semantic web technologies like FOAF, SIOC, and OGP can help connect isolated social networks and allow users to easily move between sites while bringing their data. Standards like OpenID Connect aim to provide interoperability across social platforms. Emerging projects also seek to annotate social media content with semantics and bring the data into the linked open data cloud. The goal is a unified social semantic web where users have distributed identities and their profiles and content can easily cross between different social platforms.
The document discusses the benefits of using RDFa to embed metadata and semantic information directly into web pages. It explains that RDFa allows publishers to define their own vocabularies while still following a standard syntax, and that this embedded metadata can improve search engine results, power semantic applications, and help link open data on the web through RDF links between datasets. RDFa is presented as a way to distribute and interconnect data in a decentralized and open manner.
The document discusses the evolution of the web from Web 1.0 to Web 2.0. Web 1.0 was mainly a place to find information, while Web 2.0 enables collaboration and user-generated content through features like blogs, wikis, social networking, mashups, and APIs. It provides examples of popular Web 2.0 sites and technologies like Ajax that make applications more interactive and dynamic. Open source development has been a driving force behind the growth and adoption of many Web 2.0 technologies.
Facebook Open Graph - The Semantic WalletJonathan Laba
This deck covers how Facebook is becoming a hub for consumer devices, apps and services to connect to each other in a secure manner to share data.
Facebook's allowance for the input and retrieval of structured data based on semantic web principles is positioning them to be the gold standard in the management of a unified digital identity.
This deck covers:
- What Social Means to Developers
- What is the Semantic Web
- Facebook's Evolution into Structured Data
- The Semantic Wallet
- Some Questions
The document summarizes semantic technologies that can be used to make web search and content more intelligent. It discusses how search and online media are converging, and how semantic markup like RDFa, microformats, and microdata can be used to embed structured data in web pages. This allows search engines and other applications to better understand page content and provide more sophisticated features like entity search, personalized results, and content aggregation.
Web tools allow users to share analyses with others on an ArcGIS Enterprise portal. The data and processing occur on a server connected to the portal, enabling multiple applications to run analyses simultaneously. There are four stages of the web: Web 1.0 focused on information broadcasting; Web 2.0 enabled user interaction and content sharing through social media and blogs; Web 3.0 facilitates online cooperation; and Web 4.0 integrates various systems. Web 1.0 only allowed reading static pages, while Web 2.0 made the web more dynamic and interactive through user contributions and collaboration.
MuseoTorino, first italian project using a GraphDB, RDFa, Linked Open Data21Style
MuseoTorino, is the first italian project using Web 3.0 tecnologies. NOSQL-GraphDB (Neo4J), RDFa, Linked Open Data.
MuseoTorino is a 21style (www.21-style.com) project for the municipality of Torino, Italy.
These slides come from CodeMotion, the best Italian conference for developers and IT entusiast !
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The document discusses semantic search and summarizes some key points:
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2. It can make use of information extraction techniques to extract implicit metadata from unstructured web pages, or rely on publishers exposing structured data using semantic web formats.
3. Semantic search can enhance different stages of the information retrieval process like query interpretation, indexing, ranking, and evaluation.
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http://www.landcity.it/index.php/component/k2/item/120-le-comunita-che-danno-valore-ai-dati-geografici-aperti-sessione-plenaria-conferenza-opengeodata-roma-20-giugno-2016
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Dai report che parlano del business value degli Open Data, al caso di successo di SpazioDati - spaziodati.eu.
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Creare consapevolezza sul tema necessita di una visibilità sempre maggiore.
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5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
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Power Grid Model
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UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 6
Facebook ( Open ) Graph and the Semantic Web
1. Facebook ( Open ) Graph
and the Semantic Web
Ideas around OpenGraph protocol and RDFa usage
with some possible future directions.
It’s all around the Social Object.
Matteo Brunati - dagoneye.it
Padua University - Italy - A lesson in the “Tecnologie Web2.0” course thanks to Massimo Marchiori
2. About me ( in italian )
on dagoneye.it
http://www.dagoneye.it
some english stuff on
http://www.dagoneye.it/blog/category/semantic-web/english/
3. This presentation is
about...
• Using Facebook OpenGraph to see how
RDFa is used
• Make a simple comparison with RDFa
standard usage
• introduction to Social Objects, the real “x-
factor” of the Web of Data
• Power to the people or to the Web2.0
platform? Let’s thinking about it
4. To a better understanding, don’t think pages,
think Social Objects in a Giant Global Graph
5. Linked Data
definition to a better
comprehension
http://linkeddata.jiscpress.org/tim-berners-lee%E2%80%99s-linked-data-principles/
6. events
people
things i like,
interests
Facebook connect people thanks to
shared interests and personal
informations
7. Facebook first social graph
in 2006
Facebook Social
Graph with Social
Object in 2010
http://www.25hoursaday.com/weblog/2010/04/24/FacebooksOpenGraphProtocolFromAWebDevelopersPerspective.aspx
8. “We are building a web where the default is social.”
slide taken from http://www.slideshare.net/Saintsocial/facebook-open-graph-explained
9. From now on, any website can become part of the
Facebook ecosystem, outside of Facebook.com
slide taken from http://www.slideshare.net/Saintsocial/facebook-open-graph-explained
10. The Web is more a social
creation, than
a technical one.
Sir Tim Berners Lee - 1999
11. Facebook wants to flood the web with these pieces of
functionality, adding a social skew to each and every site.
slide taken from http://www.slideshare.net/Saintsocial/facebook-open-graph-explained
12. slide taken from http://www.slideshare.net/Saintsocial/facebook-open-graph-explained
Every action taken through social plugins embedded
throughout the web will flow back to your profile, and
especially to the “Open graph”
13. Facebook Open Graph is an attempt to map all the complex interactions
existing between you, your friends and the content you all like = mapping
your interests and cross-interests.
slide taken from http://www.slideshare.net/Saintsocial/facebook-open-graph-explained
14. It means that...
this kind
of
http://www.facebook.com/matteobrunati information is
IN the
cc:Likes Facebook
Platform
http://www.creativecommons.org
15. This graph around me is accessible from the new
GRAPH API, which links objects in the social graph via
CONNECTIONS...
URIs in effect
http://developers.facebook.com/docs/api
16. a sort of RDF model?
http://developers.facebook.com/docs/api
17. so this triple with
the new Graph model
http://www.facebook.com/matteobrunati
https://graph.facebook.com/me/likes
http://www.creativecommons.org
19. When “Mi piace” is clicked,
the object with the link
appears in my Facebook
profile
20. When “Mi piace” is clicked,
the object with the link
appears in my Facebook
profile
How Facebook knows the title and the site?
21. thanks to Metadata inserted in the page,
that transform the page in a Social Object...
wait... a Social Object?
http://gapingvoid.com/2007/12/31/social-objects-for-beginners/
22. http://www.facebook.com/matteobrunati
https://graph.facebook.com/me/likes
Not the page, but the Social
Object inside that page
A movie titles “Fight Club”
23. This is the idea of
GGG,
the Giant
Global
Graph
http://www.zdnet.com/blog/btl/tim-berners-lee-from-world-wide-web-to-giant-global-graph/7126
24.
25. Metadata encoded with the new Open Graph Protocol:
a minimal RDFa implementation
http://opengraphprotocol.org/
26. Remember
the page on
the IMDB on
Fight Club?
IMDB Page source with OG,
the metadata
Let’s see metadata information using SIG.MA and SINDICE INSPECTOR
http://sindice.com/developers/inspector?url=http%3A%2F%2Fwww.imdb.com%2Ftitle%2Ftt0137523%2F#sigma
29. If the web page has no metadata
encoded using Open Graph Protocol,
Facebook show me only the title of that page
30. If the page has metadata
encoded using Open Graph Protocol and regular
Semantic Web vocabularies
http://www.metafora.it/leggi-internet/filirossi.html
33. What are the differences on the usage of RDFa
between Facebook and W3C guidelines?
Facebook developers tried RDFa and thought that
is too complex, so they use it in a minimal form
34. 1. URI -> property -> Literal value
Using the property attribute in RDFa, it means that
the object value in the RDF triple can be only a literal
value, a string of text.
35. 2. One page -> One social object
The instructions for the webmasters for the usage of the
Open Graph Protocol are clear: one page, one social
object.
And with a lot of pages? Administration problems, caos...
36. Problems
URIs are universal identifiers,
labels and text are not
If Pages on different sites are around the same
Social Object
The property attribute makes the content value a literal,
not a WEB RESOURCE with an URI, so
how understand this kind of information?
38. but the power of
decentralization of URIs
and the implicit web
capability of innovation
without consensus...
are with us .)
39. The Semantic Web community makes
the Scheme machine readable
http://github.com/facebook/open-graph-protocol/blob/master/schema.php
40. The Community makes some properties
of the Open Graph Protocol connected
with shared Semantic Web vocabularies
url property
<rdf:Property rdf:about="http://opengraphprotocol.org/schema/url">
<rdfs:label xml:lang="en-US">url</rdfs:label>
<rdfs:comment xml:lang="en-US">The canonical URL of your object that will be used as its
permanent ID in the graph, e.g., "http://www.imdb.com/title/tt0117500/".</rdfs:comment>
<rdfs:seeAlso rdf:resource="http://xmlns.com/foaf/0.1/homepage"/>
<rdfs:seeAlso rdf:resource="http://purl.org/dc/elements/1.1/identifier"/>
<rdfs:isDefinedBy rdf:resource="http://opengraphprotocol.org/schema/"/>
</rdf:Property>
<rdf:Property rdf:about="http://opengraphprotocol.org/schema/type">
<rdfs:label xml:lang="en-US">type</rdfs:label>
<rdfs:comment xml:lang="en-US">The type of your object, e.g., "movie". Depending on the
type you specify, other properties may also be required.</rdfs:comment>
<rdfs:seeAlso rdf:resource="http://www.w3.org/1999/02/22-rdf-syntax-ns#type"/>
<rdfs:isDefinedBy rdf:resource="http://opengraphprotocol.org/schema/"/>
</rdf:Property>
type
property
41. Make a Web of Data from the new Facebook
Graph API that return JSON data with HTTP
URIs which are dereferencable
http://sam.tw.rpi.edu/ws/face_lod.html
43. If we make assertions on things, we make
a relationship between things.
We need to speak about such relations.
We need ontologies.
slide taken from http://www.slideshare.net/Cloud/the-social-semantic-web
44. RDF power to make assertions
on everything using a graph
slide taken from http://www.slideshare.net/Cloud/the-social-semantic-web
45. Linking Open Graph term with
the Linked Data cloud, thanks
to ontologies
47. In the extreme view , the world can be seen as
only connections, nothing else.
We think of a dictionary as the repository of meaning,
but it defines words only on terms of other words.
48. Original
World Wide
Web Proposal at
CERN in
1989-1990
It’s the Web, my dear .)
61. Don’t think Websites, think Data
Coloured lines are ontologies and balls are applications:
mapping the world without reinvent the wheel .)
62. Another example: advantages using Linked Data in a
tweet based on SMOB - http://smob.me/
My status is connected
on the URI of the Social
Object automatically,
thanks to Linked Data
automatism
63. thanks to Linked
Data, automatically topics
of the tweet are connected
with the colletive intelligence
of the Web, in a machine
readable form
64. Useful stuff
1. http://www.slideshare.net/dpalmisano/from-the-semantic-web-to-the-web-of-data-ten-years-of-linking-up
2. http://www.slideshare.net/Cloud/the-social-semantic-web
3. http://www.slideshare.net/mhepp/web-page-optimization-for-facebook
4. http://www.semanticweb.com/news/rdfa_momentum_continues_part_of_html5_160146.asp
5. http://linkeddata.deri.ie/services/tutorials/rdfa
6. http://jeffsayre.com/2010/02/24/a-flock-of-twitters-decentralized-semantic-microblogging/
7. http://groups.google.com/group/open-graph-protocol
8. http://www.heppnetz.de/projects/goodrelations/
9. http://socialbits.net/blog/the-social-semantic-web/
10. http://www.slideshare.net/Saintsocial/facebook-open-graph-explained
Tools
a. http://sindice.com/developers/inspector/
b. http://www.w3.org/2001/sw/BestPractices/HTML/rdfa-bookmarklet/
c. http://rdfa.info/wiki/Tools
In Italian:
1. http://www.webprofession.it/group/semanticwebelinkeddata
2. http://www.titticimmino.com/2010/04/28/open-graph-facebook-e-lad-il-web-semantico-in-movimento/
3. http://www.dagoneye.it/blog/2010/04/26/facebook-open-graph-e-rdfa-il-grafo-come-modello-per-leggere-la-
metapiattaforma-del-web/
4. http://www.slideshare.net/dagoneye/i-fili-rossi-di-apogeonline-in-versione-semantica-grazie-a-rdfa-prima-
parte
65. Thanks! Creative
Commons
License RDFa
powered
<a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/">
<img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc/3.0/88x31.png" />
</a>
<br />
<span xmlns:dc="http://purl.org/dc/elements/1.1/" property="dc:title">
Facebook ( Open ) Graph and the Semantic Web</span>
by
<span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">
Matteo Brunati</span>
is licensed under a
<a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/">Creative Commons Attribuzione-Non commerciale 3
Unported License</a>.
dagoneye.it - matt [at] blog.dagoneye.it
67. Facebook
Social
Graph
Who controls that data?
What are the points of contact, me or the Platform?
What implies if i have my facebook social graph connected
in a personal way with the Linked Data cloud?
68. or in other words
http://www.facebook.com/matteobrunati
people on the Web has
an URI under their own control
to take control of their digital
identity?
70. making us a central point of contact with the Market,
mmm...VRM Vision enabled by Semantic Web “power to the
people”
http://www.brucemacvarish.com/2008/07/
customer-service-20-and-vrm---a-revisit.html
http://cyber.law.harvard.edu/projectvrm/
Main_Page
71. VRM can be the perfect scenario to
understand the power of changing our
attitude to the Market thanks to the Web at
full of its potential ( Semantic Web )
Taking control of our relationship in the Market
73. The Web is more a social
creation, than
Society
a technical one.
changes thanks to
innovations, thanks to
tecnology by people
that see this
change
Sir Tim Berners Lee - 1999
People centered Market is possible now with
the grow of decentralization of our personal social
objects graphs, if we are under control
74. VRM + Semantic Web
tools ideas: next
presentation with some
ideas around the future
of Advertising
Networks .)