Query Refinement by Multi Word Term expansions and semantic synonymy

dc.creatorLux-Pogodalla, Veronila
dc.creatorJuan, Eric San
dc.date2008-11-04
dc.date.accessioned2026-07-07T10:15:28Z
dc.date.available2026-07-07T10:15:28Z
dc.descriptionWe developed a system, TermWatch (https://stid-bdd.iut.univ-metz.fr/TermWatch/index.pl), which combines a linguistic extraction of terms, their structuring into a terminological network with a clustering algorithm. In this paper we explore its ability in integrating the most promising aspects of the studies on query refinement: choice of meaningful text units to cluster (domain terms), choice of tight semantic relations with which to cluster terms, structuring of terms in a network enabling abetter perception of domain concepts. We have run this experiment on the 367 645 English abstracts of PASCAL 2005-2006 bibliographic database (http://www.inist.fr) and compared the structured terminological resource automatically build by TermWarch to the English segment of TermScience resource (http://termsciences.inist.fr/) containing 88 211 terms.
dc.identifierhttps://arxiv.org/abs/0811.0603
dc.identifierhttp://arxiv.org/abs/0811.0603
dc.identifierInSciT2006, medira : Espagne (2006)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173185
dc.subjectInformation Retrieval
dc.titleQuery Refinement by Multi Word Term expansions and semantic synonymy
dc.typetext

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