Faceted Semantic Search for Personalized Social Search
This addresses personalized search in social networks using collaborative folksonomies, but appears incremental as it builds on existing faceted semantic search and Semantic Web concepts.
The paper tackles the problem of vague ontological indeterminacy in social networks by prototyping a faceted semantic search system for personalized social search based on 'joint meaning' in community environments. A proof-of-concept prototype demonstrates the approach can be applied to existing presentation components built with different technologies.
Actual social networks (like Facebook, Twitter, Linkedin, ...) need to deal with vagueness on ontological indeterminacy. In this paper is analyzed the prototyping of a faceted semantic search for personalized social search using the "joint meaning" in a community environment. User researches in a "collaborative" environment defined by folksonomies can be supported by the most common features on the faceted semantic search. A solution for the context-aware personalized search is based on "joint meaning" understood as a joint construal of the creators of the contents and the user of the contents using the faced taxonomy with the Semantic Web. A proof-of concept prototype shows how the proposed methodological approach can also be applied to existing presentation components, built with different languages and/or component technologies.