Generating resource profiles by exploiting the context of social annotations

Kawase, R; Papadakis, G; Abel, F

dc.contributor.author	Kawase, R	en
dc.contributor.author	Papadakis, G	en
dc.contributor.author	Abel, F	en
dc.date.accessioned	2014-03-01T02:53:18Z
dc.date.available	2014-03-01T02:53:18Z
dc.date.issued	2011	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36218
dc.subject.other	Context information	en
dc.subject.other	Context-based	en
dc.subject.other	Contextual information	en
dc.subject.other	Generic strategies	en
dc.subject.other	Resource modeling	en
dc.subject.other	Resource profile	en
dc.subject.other	Social tagging	en
dc.subject.other	Tag-based	en
dc.subject.other	Tagging systems	en
dc.subject.other	User profile	en
dc.subject.other	Metadata	en
dc.subject.other	Semantic Web	en
dc.subject.other	Semantics	en
dc.subject.other	Social networking (online)	en
dc.subject.other	Thesauri	en
dc.subject.other	User interfaces	en
dc.title	Generating resource profiles by exploiting the context of social annotations	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-25073-6_19	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-25073-6_19	en
heal.publicationDate	2011	en
heal.abstract	Typical tagging systems merely capture that part of the tagging interactions that enrich the semantics of tag assignments according to the system's purposes. The common practice is to build tag-based resource or user profiles on the basis of statistics about tags, disregarding the additional evidence that pertain to the resource, the user or the tag assignment itself. Thus, the main bulk of this valuable information is ignored when generating user or resource profiles. In this work, we formalize the notion of tag-based and context-based resource profiles and introduce a generic strategy for building such profiles by incorporating available context information from all parts involved in a tag assignment. Our method takes into account not only the contextual information attached to the tag, the user and the resource, but also the metadata attached to the tag assignment itself. We demonstrate and evaluate our approach on two different social tagging systems and analyze the impact of several context-based resource modeling strategies within the scope of tag recommendations. The outcomes of our study suggest a significant improvement over other methods typically employed for this task. © 2011 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-25073-6_19	en
dc.identifier.volume	7031 LNCS	en
dc.identifier.issue	PART 1	en
dc.identifier.spage	289	en
dc.identifier.epage	304	en