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dc.contributor.authorAhlers, Dirkspa
dc.date.accessioned2020-10-27T00:20:29Z
dc.date.available2020-10-27T00:20:29Z
dc.date.issued2012-12-01
dc.identifier.issn2539-2115
dc.identifier.issn1657-2831
dc.identifier.urihttp://hdl.handle.net/20.500.12749/8917
dc.description.abstractLa búsqueda local es un modo bien establecido de los motores de búsqueda web hoy en día que hace entidades georreferenciadas disponibles para la búsqueda. Para la mayoría de los países desarrollados, una gran cantidad de datos está disponible directamente en la Web y se puede extraer y procesados ​​por los motores de búsqueda. Los resultados se mapean con gran precisión y, a menudo, son correctos hasta la granularidad del edificio correcto. En muchos países en desarrollo países, la cobertura de la Web es mucho menor, sólo poca información es directamente disponible, y la granularidad puede ser mucho peor, tanto en las direcciones indicadas o ubicaciones en páginas web y en los datos de origen utilizados en los geocodificadores. Para desarrollar una búsqueda local que todavía puede proporcionar suficiente precisión, un modo híbrido debe seguirse un proceso de construcción del índice que identifique e integre otros fuentes de información geoespacial para aumentar la cobertura. La parte de ubicación puede ser excepcionalmente difícil, ya que las direcciones imprecisas y la baja granularidad los geocodificadores no permiten el uso de coordenadas precisas en el mapeo. Nosotros por lo tanto proponer un enfoque que está diseñado para aumentar la cobertura y la precisión recopilar y fusionar datos de entidades de múltiples fuentes. Su propósito es combinar las fortalezas de las fuentes de datos individuales y reducir el impacto de sus debilidades Usamos el ejemplo del país latinoamericano de Honduras, para describir el enfoque y las posibles fuentes de datos.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.publisherUniversidad Autónoma de Bucaramanga UNAB
dc.relationhttps://revistas.unab.edu.co/index.php/rcc/article/view/2124/1891
dc.relation.urihttps://revistas.unab.edu.co/index.php/rcc/article/view/2124
dc.rightsDerechos de autor 2012 Revista Colombiana de Computación
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.sourceRevista Colombiana de Computación; Vol. 13 Núm. 2 (2012): Revista Colombiana de Computación; 37-52
dc.subjectBúsqueda web
dc.subjectConstrucción de índices
dc.subjectBúsqueda geoespacial
dc.subjectGeocodificación
dc.subjectConflación
dc.subjectBúsqueda de entidades
dc.subjectHonduras
dc.titleCombinación basada en entidades de múltiples fuentes para búsqueda localspa
dc.title.translatedMulti-Source entity-based conflation for local searcheng
dc.type.driverinfo:eu-repo/semantics/article
dc.type.localArtículospa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.subject.keywordsWeb searcheng
dc.subject.keywordsIndex constructioneng
dc.subject.keywordsGeospatial searcheng
dc.subject.keywordsGeocodingeng
dc.subject.keywordsFusioneng
dc.subject.keywordsEntity searcheng
dc.subject.keywordsHonduraseng
dc.subject.keywordsTechnological innovationseng
dc.subject.keywordsComputer's scienceeng
dc.subject.keywordsTechnological developmenteng
dc.subject.keywordsSystems Engineereng
dc.subject.keywordsResearcheng
dc.subject.keywordsTechnology of the information and communicationeng
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga UNABspa
dc.type.hasversionInfo:eu-repo/semantics/publishedVersion
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
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dc.contributor.googlescholarAhlers, Dirk [BTbhBrgAAAAJ]spa
dc.contributor.orcidAhlers, Dirk [0000-0002-6508-8184]spa
dc.contributor.researchgateAhlers, Dirk [Dirk-Ahlers-3]spa
dc.subject.lembInnovaciones tecnológicasspa
dc.subject.lembCiencias de la computaciónspa
dc.subject.lembDesarrollo tecnológicospa
dc.subject.lembIngeniero de sistemasspa
dc.subject.lembInvestigaciónspa
dc.subject.lembTecnología de la información y comunicaciónspa
dc.identifier.repourlrepourl:https://repository.unab.edu.co
dc.description.abstractenglishLocal search is a well-established mode of Web search engines today that makes georeferenced entities available for search. For most developed countries, a huge amount of data is directly available on the Web and can be extracted and processed by search engines. Results are mapped with great precision and often are correct down to the granularity of the correct building. In many developing countries, the Web coverage is much lower, only little information is directly available, and the granularity may be much worse, both in the stated addresses or locations on Web pages and in the source data used in the geocoders. To develop a local search that still can provide sufficient precision, a hybrid mode of index construction has to be followed that identifies and integrates other sources of geospatial information to increase the coverage. The location part can be exceptionally difficult, as imprecise addresses and low-granularity geocoders do not allow precise coordinates to be used in mapping. We therefore propose an approach that is designed to increase coverage and precision by collecting and merging entity data from multiple sources. Its purpose is to combine the strengths of individual data source and reduce the impact of their weaknesses. We use the example of the Latin American country of Honduras, to describe the approach and potential data sources.eng
dc.subject.proposalBúsqueda Webspa
dc.subject.proposalConstrucción de índicesspa
dc.subject.proposalBúsqueda geoespacialspa
dc.subject.proposalGeo codificaciónspa
dc.subject.proposalFusiónspa
dc.subject.proposalHondurasspa
dc.type.redcolhttp://purl.org/redcol/resource_type/CJournalArticle
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 2.5 Colombia*


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