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
Social Network and Semantic Web By: Priyanka Singh IAM, School of Electronics and Computer Science University of Southampton email@example.com Supervisor- Prof. Nigel R. Shadbolt Second Supervisor- Dr. Manuel Salvadores
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
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?
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
Semantic Web Social Applications Semantic Tagging Semantic Microblogging Facebook Open Graph Semantic Wikis
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?
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)
Why form communities? Information exchange and self interest Symbiotic relation and social exchange Recommender system Expert finder Other Incentives (social recognition, personal satisfaction)
Types of Community Information based Interest based Location based Expert based
Role of Linked Data Multidimensional Network Structured data Linking People to People and People to Data Smart query Social Network Analysis
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.
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?