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Do Expressive Geographic Queries Lead to Improvement in Retrieval Eff ectiveness?

hal.structure.identifierLaboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
dc.contributor.authorPALACIO, Damien
hal.structure.identifierLaboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
dc.contributor.authorSALLABERRY, Christian
hal.structure.identifierSystèmes d’Informations Généralisées [IRIT-SIG]
hal.structure.identifierUniversité Toulouse III - Paul Sabatier [UT3]
dc.contributor.authorCABANAC, Guillaume
hal.structure.identifierSystèmes d’Informations Généralisées [IRIT-SIG]
dc.contributor.authorHUBERT, Gilles
hal.structure.identifierLaboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
hal.structure.identifierLinguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
dc.contributor.authorGAIO, Mauro
dc.date.accessioned2024-04-15T09:45:46Z
dc.date.available2024-04-15T09:45:46Z
dc.date.created2012
dc.date.issued2012
dc.date.conference2012-04
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/197948
dc.description.abstractEnIn an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users' information needs involve more expressiveness (e.g., 'Potato famine in Ireland, but not in Cork'). Our work deals with this category of queries that may be processed by geographic IR (GIR) systems to parse digital libraries according to spatial, temporal and topical criteria. We propose a GIR framework that supports expressive queries and aggregates results of a multi-criteria search. We also conduct experiments to verify that this approach improves the e ectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).
dc.language.isoen
dc.source.titleAGILE'12: Proceedings of the 15th AGILE International Conference on Geographic Information Science
dc.title.enDo Expressive Geographic Queries Lead to Improvement in Retrieval Eff ectiveness?
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Recherche d'information [cs.IR]
bordeaux.page267-286
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleInternational Conference on Geographic Information Science
bordeaux.countryFR
bordeaux.title.proceedingAGILE'12: Proceedings of the 15th AGILE International Conference on Geographic Information Science
bordeaux.conference.cityAvignon
bordeaux.peerReviewedoui
hal.identifierhal-00671147
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00671147v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=AGILE'12:%20Proceedings%20of%20the%2015th%20AGILE%20International%20Conference%20on%20Geographic%20Information%20Science&rft.date=2012&rft.spage=267-286&rft.epage=267-286&rft.au=PALACIO,%20Damien&SALLABERRY,%20Christian&CABANAC,%20Guillaume&HUBERT,%20Gilles&GAIO,%20Mauro&rft.genre=unknown


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