USE: a concept-based recommendation system to support creative search

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RECERCAT Home > Universitat Politècnica de Catalunya > Documents de recerca > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/14281

dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.contributor.author	Sousa Lopes, João
dc.contributor.author	Álvarez Napagao, Sergio
dc.contributor.author	Vázquez Salceda, Javier
dc.date	2009
dc.identifier.citation	Lopes, J.; Alvarez-Napagao, Sergio; Vazquez-Salceda, J. USE: a concept-based recommendation system to support creative search. A: IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. "2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology". Milà: IEEE Computer Society Publications, 2009, p. 17-21.
dc.identifier.citation	978-0-7695-3801-3
dc.identifier.uri	http://hdl.handle.net/2117/14281
dc.language.iso	eng
dc.publisher	IEEE Computer Society Publications
dc.relation	http://www.computer.org/portal/web/csdl/doi/10.1109/WI-IAT.2009.220
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Abductive reasoning
dc.subject	Intelligent agents (Computer software)
dc.subject	Raonament abductiu
dc.title	USE: a concept-based recommendation system to support creative search
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Semiotics is a field on which research in Computer Science methodologies has focused, mainly concerning Syntax and Semantics. These methodologies, however, are lacking some flexibility for the continuously evolving web community, in which the knowledge is classified with tags rather than with ontologies. In this paper we propose a system for the recommendation of tagged pictures obtained from the Web. The system, driven by user feedback, executes an abductive reasoning (based on WordNet synset semantic relations) that is able to iteratively lead to new concepts which progressively represent the cognitive creative user state.
dc.description.abstract	Peer Reviewed

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