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Normalizing Spatial Information to Better Combine Criteria in Geographical Information Retrieval

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.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.accessioned2024-04-15T09:49:45Z
dc.date.available2024-04-15T09:49:45Z
dc.date.created2009-04-06
dc.date.issued2009-04-06
dc.date.conference2009-04-06
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198284
dc.description.abstractEnIt is generally accepted that geographical information or G.I. (such as texts, maps and tables) is chiefly composed of 3 kinds of criteria : spatial, temporal and thematic criteria. The main focus of this article is spatial criteria. More specifically, we have developed a processing sequence that can extract the spatial information contained in non-structured cultural heritage texts. This processing sequence indexes spatial information, which enables information retrieval (I.R.) based on the same criteria. Our goal is to normalize heterogeneous spatial information. This normalization is carried out at the index level by grouping spatial information together and by using statistics to calculate weights of spatial areas and the pertinence of the results. Thus, we aim to develop a general IR strategy that is dedicated to spatial information, but which can be applied to temporal and thematic information as well. By generalizing this approach, homogeneous IR strategies will be able to combine spatial, temporal and thematic criteria for more efficient geographic IR methods.
dc.language.isoen
dc.source.titleECIR GIIW: 31st European Conference on Information Retrieval, Geographic Information on the Internet Workshop (GIIW)
dc.title.enNormalizing Spatial Information to Better Combine Criteria in Geographical Information Retrieval
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Recherche d'information [cs.IR]
bordeaux.page37-49
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleECIR, 31st European Conference on Information Retrieval
bordeaux.countryFR
bordeaux.title.proceedingECIR GIIW: 31st European Conference on Information Retrieval, Geographic Information on the Internet Workshop (GIIW)
bordeaux.conference.cityToulouse
bordeaux.peerReviewedoui
hal.identifierhal-00451924
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2009-04-09
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00451924v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=ECIR%20GIIW:%2031st%20European%20Conference%20on%20Information%20Retrieval,%20Geographic%20Information%20on%20the%20Internet%20Workshop%20(GIIW)&rft.date=2009-04-06&rft.spage=37-49&rft.epage=37-49&rft.au=PALACIO,%20Damien&SALLABERRY,%20Christian&GAIO,%20Mauro&rft.genre=unknown


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