int.ere.st: Building a Tag Sharing Services with the SCOT Ontology

Hak-Lae Kim, John G. Breslin, Sung-Kwon Yang, Seong-Jae Song, Hong-Gee Kim

Although a number of people have participated in tagging activity on many Web 2.0 sites and the sites allow users to get their tagging data through Mash-up APIs, there are many issues (e.g. tag semantics) associated with social tagging or folksonomies. Many studies have focused on semantics of a tag that offers a way of exact meaning of an individual tag or among the tags. Surprisingly, there has been minimal research regarding tag sharing or exchange. We suggest a semantic model, is called the 'SCOT (Semantic Social Cloud of Tags)', to represent the structure and the semantics of tagging data. We also discuss social tagging processes in order to provide semantic interoperability of tagging data among diverse sources. The \texttt{int.ere.st} web site aims to allow users to search and bookmark their social tagging data and to help the sharing and exchange of tagging data among people or heterogenous sources. We give an overview of \texttt{int.ere.st} with the social tagging processes and describe specific algorithms to support the processes.

Subjects: 11.2 Ontologies; 8. Enabling Technologies

Submitted: Jan 25, 2008


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