This document discusses the potential for combining social networks and the semantic web. It outlines how semantics and ontologies could be used to describe social network resources and interlink data across platforms. This would allow for search, query, and portability of data between different social networks. Some applications mentioned include semantic tagging, microblogging, and semantic wikis. The document also discusses issues around privacy and incentives for sharing personal data on the semantic web.

1. Social Network and Semantic Web By: Priyanka Singh IAM, School of Electronics and Computer Science University of Southampton ps1w07@ecs.soton.ac.uk Supervisor- Prof. Nigel R. Shadbolt Second Supervisor- Dr. Manuel Salvadores

2. Content Introduction 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 Questions?