2012/02/29 by Massimiliano Dal Mas, Mas, Massimiliano Dal
Computer Science · #03B65 #68P05 #68P10 #68Q55 #68T30 #FOS: Computer and information sciences #H.3.1 #I.2.3 #I.2.4 #I.2.7 #Information Retrieval (cs.IR) #acm:03B65 #acm:68P05 #acm:68P10 #acm:68Q55 #acm:68T30 #cs.IR #msc:03B65 #msc:68P05 #msc:68P10 #msc:68Q55 #msc:68T30
paper · pdf · doi:10.48550/arxiv.1202.6685
12 pages, 1 figures; 1 table; for details see: http://www.maxdalmas.com
arxiv created 2012/02/29 · arxiv updated 2012/03/01
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.