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Emergent Ontologies by Collaborative Tagging for Knowledge Management

dc.contributor.authorJiménez Nácero, Weenaspa
dc.contributor.authorLuis Alvargonzález, César de spa
dc.contributor.authorAbella Vallina, Pablospa
dc.contributor.authorÁlvarez Rodríguez, José María spa
dc.contributor.authorOrdóñez de Pablos, Patricia spa
dc.contributor.authorLabra Gayo, José Emilio spa
dc.identifier.citationAdvancing Information Management through Semantic Web Concepts and Ontologies, IGI Global, p. 54-69, 2013spa
dc.description.abstractThe massive use of Internet and social networks leads us to a new dynamic environment with huge amounts of unstructured and unclassified information resources in continuous evolution. New classification, compilation, and recommendation systems based on the use of folksonomies and ontologies have appeared to deal with the requirements of data management in this environment. Nevertheless, using ontologies alone has some weaknesses due to the need of being statically modeled by a set of experts in a specific domain. On the other hand, folksonomies show a lack of formality because of their implicit ambiguity and flexibility by definition. The main objective of this chapter is to outline and evaluate a new way to exploit Web information resources and tags for bridging the gap between ontology modeling and folksonomiesen
dc.format.extentp. 54-69spa
dc.publisherIdea Group,U.Sspa
dc.relation.ispartofAdvancing Information Management through Semantic Web Concepts and Ontologiesen
dc.titleEmergent Ontologies by Collaborative Tagging for Knowledge Managementspa

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