Applications of Semantic Web Methodologies and Techniques to Social Networks and Social Websites

One of the most visible trends on the Web is the emergence of "Social Web" sites which facilitate the creation and gathering of knowledge through the simplification of user contributions via blogs, tagging and folksonomies, wikis, podcasts, and the deployment of online social networks. The Social Web has enabled community-based knowledge acquisition with efforts like the Wikipedia demonstrating the "wisdom of the crowds" in creating the world's largest online encyclopaedia. Although it is difficult to define the exact boundaries of what structures or abstractions belong to the Social Web, a common property of such sites is that they facilitate collaboration and sharing between users with low technical barriers, although usually on single sites. As more social websites form around the connections between people and their objects of interest, and as these "object-centred networks" grow bigger and more diverse, more intuitive methods are needed for representing and navigating the content items in these sites: both within and across social websites. Also, to better enable user access to multiple sites, interoperability among social websites is required in terms of both the content objects and the person-to-person networks expressed on each site. This requires representation mechanisms to interconnect people and objects on the Social Web in an interoperable and extensible way. The Semantic Web provides such representation mechanisms: it can be used to link people and objects by representing the heterogeneous ties that bind us all to each other (either directly or indirectly). In this paper, we will describe methods that build on agreed-upon Semantic Web formats to describe people, content objects, and the connections that bind them together explicitly or implicitly, enabling social websites to interoperate by appealing to some common semantics. We will also focus on how developers can use the Semantic Web to augment the ways in which they create,reuse, and link content on social networking sites and social websites.

[1]  Yong Yu,et al.  Exploring social annotations for the semantic web , 2006, WWW '06.

[2]  Peter Mika,et al.  Ontologies are us: A unified model of social networks and semantics , 2005, J. Web Semant..

[3]  Vladimir Batagelj,et al.  Pajek - Program for Large Network Analysis , 1999 .

[4]  James A. Hendler,et al.  Trust Networks on the Semantic Web , 2003, WWW.

[5]  Amit P. Sheth,et al.  Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection , 2006, WWW '06.

[6]  Andreas Harth,et al.  Towards Semantically-Interlinked Online Communities , 2005, ESWC.

[7]  Li Ding,et al.  How the Semantic Web is Being Used: An Analysis of FOAF Documents , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[8]  Ryszard Kowalczyk,et al.  Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation , 2007 .

[9]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[10]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[11]  John G. Breslin,et al.  Social Networks and Data Portability using Semantic Web technologies , 2008 .

[12]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[13]  John G. Breslin,et al.  Social Network and Data Portability using Semantic Web Technologies , 2008, BIS.

[14]  Peter Mika,et al.  Flink: Semantic Web technology for the extraction and analysis of social networks , 2005, J. Web Semant..

[15]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[16]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Danah Boyd,et al.  Vizster: visualizing online social networks , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[18]  Andreas Harth,et al.  Navigating and Annotating Semantically-Enabled Networks of People and Associated Objects , 2008 .

[19]  Thomas Gruber,et al.  Ontology of Folksonomy: A Mash-Up of Apples and Oranges , 2007, Int. J. Semantic Web Inf. Syst..

[20]  Bernardo A. Huberman,et al.  The Structure of Collaborative Tagging Systems , 2005, ArXiv.

[21]  Sung-Kwon Yang,et al.  Simple Algorithms for Representing Tag Frequencies in the SCOT Exporter , 2007, 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07).

[22]  Lora Aroyo,et al.  The Semantic Web: Research and Applications , 2009, Lecture Notes in Computer Science.

[23]  Hugo Liu,et al.  Unraveling the Taste Fabric of Social Networks , 2006, Int. J. Semantic Web Inf. Syst..

[24]  Linton C. Freeman,et al.  Carnegie Mellon: Journal of Social Structure: Visualizing Social Networks Visualizing Social Networks , 2022 .

[25]  John G. Breslin,et al.  The Future of Social Networks on the Internet: The Need for Semantics , 2007, IEEE Internet Computing.

[26]  G Stix,et al.  The mice that warred. , 2001, Scientific American.

[27]  Wolfgang Nejdl,et al.  Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context , 2005, International Semantic Web Conference.

[28]  John G. Breslin,et al.  Using the Semantic Web for linking and reusing data across Web 2.0 communities , 2008, J. Web Semant..

[29]  Eyal Oren,et al.  A Prototype to Explore Content and Context on Social Community Sites , 2007, CSSW.

[30]  Enrico Motta,et al.  Integrating Folksonomies with the Semantic Web , 2007, ESWC.

[31]  Bernardo A. Huberman,et al.  Usage patterns of collaborative tagging systems , 2006, J. Inf. Sci..

[32]  Alexandre Passant,et al.  Meaning Of A Tag: A collaborative approach to bridge the gap between tagging and Linked Data , 2008, LDOW.

[33]  José Emilio Labra Gayo,et al.  Mailing Lists Meet the Semantic Web , 2007, SAW.