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  • We have many different social networking applications for different purposes.
  • The maid features of the current social web: Web 2.0Brad Fitzpatrick – Social Network Fatigue
  • OPO: Online Presence Ontology
  • Example: Link person’s data from messaging board, blog and foaf profile
  • Folksnomy: SCOT (Social Semantic Cloud of Tags), MOAT (Meaning Of A Tag), FolksOntologySemantic Microblogging SMOBFacebook like button to embed external page data with facebook profileSemantic searchSemantic Wiki- Content + Vocabulary
  • - To exchange information and help us to improve our work
  • Information based: IRC channel, Interest based: Messaging board and forumsLocation based: Book club, neighborhood watchExpert based:
  • Linked Data alreadyinrelinked people and their data with interests and friends interests
  • Multidimension network – Network of people, network of data, Overlapping networkNetwork generation  Social network and content corpus◦ Measuring Network Properties  Centrality and clustering coefficient for each actor◦ Time Series Analysis Generates regression model statistics and influence network diagram Shows statistically significant effects between variables


  • 1. Social Network and Semantic Web
    By: Priyanka Singh
    IAM, School of Electronics and Computer Science
    University of Southampton
    Supervisor- Prof. Nigel R. Shadbolt
    Second Supervisor- Dr. Manuel Salvadores
  • 2. Content
    Semantic Web + Social Web
    Semantic Web Social Applications
    Using Semantic Web social data
    Social Networking & Communities
    Role of Linked Data
    Issues with social data
  • 3. Social Web
  • 4. Social Web
    Object centered connection
    Closed network and data silos
    Social network fatigue
    Isolated communities of user and data
    Connectivity and portability between different networks?
  • 5. Semantic Web + Social Web
    Use semantics to describe resources (URIs, RDFa)
    Ontologies to describe concepts (FOAF, SIOC, OPO)
    Share resources across platform and networks
    Interlinking of data
    Search and query
  • 6. Semantic Web + Social Web
  • 7. Semantic Web Social Applications
    Semantic Tagging
    Semantic Microblogging
    Facebook Open Graph
    Semantic Wikis
  • 8. Using Semantic Social Data
    Distributed and decentralized Social Web
    Interoperability and data portability
    Social network analysis
    Enhanced recommendation and data visualization
    Can we quickly create a community according to need or interest or find experts?
  • 9. Medium of Communication
    Personal Network (Facebook, Myspace)
    Professional Network (LinkedIn, Yammer)
    Media Sharing (Flickr, YouTube)
    Blogging and Microblogging (Twitter, Wordpress)
    Collective Knowledge (Wikipedia, Stackoverflow)
    Communication (IRC, Online Chat, Skype)
    Others (Message boards, forums, mailing list, etc)
  • 10. Why form communities?
    Information exchange and self interest
    Symbiotic relation and social exchange
    Recommender system
    Expert finder
    Other Incentives (social recognition, personal satisfaction)
  • 11. Types of Community
    Information based
    Interest based
    Location based
    Expert based
  • 12. Role of Linked Data
  • 13. Role of Linked Data
    Multidimensional Network
    Structured data
    Linking People to People and People to Data
    Smart query
    Social Network Analysis
  • 14. Issues with Semantic Web
    Not all data are open and linked
    Lack of consistent ontologies and data description
    Privacy and security
    Lack of incentive to open and link personal data.
  • 15. Work done
    Crime Ontology
    Interlinking publications data with Dbpedia
    Co-wrote paper for ESWC11- “Distributed Human Computation Framework for Linked Data Co-reference Resolution”
    Create victim support group in a localityand find an expert Psychologist nearby as a mediator?
  • 16. Thank you