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dc.contributor.authorMuñoz Gil, Rafael
dc.contributor.authorDe Buenaga Rodríguez, Manuel
dc.contributor.authorAparicio Galisteo, Fernando
dc.contributor.authorGachet Páez, Diego
dc.contributor.authorGarcía Cuesta, Esteban
dc.date.accessioned2022-01-27T13:25:29Z
dc.date.available2022-01-27T13:25:29Z
dc.date.issued2021
dc.identifier.issn2078-2489spa
dc.identifier.urihttp://hdl.handle.net/10641/2743
dc.description.abstractIn recent years, information integration systems have become very popular in mashup-type applications. Information sources are normally presented in an individual and unrelated fashion, and the development of new technologies to reduce the negative effects of information dispersion is needed. A major challenge is the integration and implementation of processing pipelines using different technologies promoting the emergence of advanced architectures capable of processing such a number of diverse sources. This paper describes a semantic domain-adaptable platform to integrate those sources and provide high-level functionalities, such as recommendations, shallow and deep natural language processing, text enrichment, and ontology standardization. Our proposed intelligent domain-adaptable platform (IDAP) has been implemented and tested in the tourism and biomedicine domains to demonstrate the adaptability, flexibility, modularity, and utility of the platform. Questionnaires, performance metrics, and A/B control groups’ evaluations have shown improvements when using IDAP in learning environmentsspa
dc.language.isoengspa
dc.publisherInformationspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectInformation systemsspa
dc.subjectRecommendersspa
dc.subjectInformation fusionspa
dc.subjectSemantic Webspa
dc.subjectIntelligent agentsspa
dc.titleA Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine Domains.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent2139 KBspa
dc.identifier.doi10.3390/info12110435spa
dc.relation.publisherversionhttps://www.mdpi.com/2078-2489/12/11/435spa


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