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Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

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.accessioned2024-04-15T09:49:36Z
dc.date.available2024-04-15T09:49:36Z
dc.date.created2010
dc.date.issued2010
dc.date.conference2010-05-26
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198271
dc.description.abstractEnOur contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but which could be applied to temporal and thematic information as well. More specifically, we have developed a process flow that indexes the spatial information contained in textual documents. This process flow interprets spatial information and computes corresponding accurate footprints. Our goal is to normalize such heterogeneous grained and scaled spatial information (points, polylines, polygons). This normalization is carried out at the index level by grouping spatial information together within spatial areas and by using statistics to compute frequencies for such areas and weights for the retrieved documents.
dc.language.isoen
dc.source.titleISGIS'10: Proceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science
dc.subject.enGeographic Information Retrieval
dc.subject.enSpatial Information
dc.subject.enNormalization
dc.subject.enGeographic Information Combination
dc.title.enNormalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Recherche d'information [cs.IR]
bordeaux.page229-234
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleJoint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science
bordeaux.countryHK
bordeaux.title.proceedingISGIS'10: Proceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science
bordeaux.conference.cityHong-Kong
bordeaux.peerReviewedoui
hal.identifierhal-00458059
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2010-05-28
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00458059v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=ISGIS'10:%20Proceedings%20of%20the%20Joint%20International%20Conference%20on%20Theory,%20Data%20Handling%20and%20Modelling%20in%20GeoSpatial%20Information%20Science&rft.date=2010&rft.spage=229-234&rft.epage=229-234&rft.au=PALACIO,%20Damien&SALLABERRY,%20Christian&GAIO,%20Mauro&rft.genre=unknown


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