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dc.contributor.authorTorre-Bastida, Ana I.
dc.contributor.authorVillar-Rodriguez, Esther
dc.contributor.authorDel Ser, Javier
dc.contributor.authorGil-Lopez, Sergio
dc.date.accessioned2016-11-28T14:19:50Z
dc.date.available2016-11-28T14:19:50Z
dc.date.issued2015-01-01
dc.identifier.citationSemantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database, AI Torre-Bastida, E Villar-Rodriguez, J Del Ser, S Gil-Lopez, Intelligent Distributed Computing VIII, 211-221, 2015en
dc.identifier.isbn978-3-319-10421-8en
dc.identifier.issn1860-949Xen
dc.identifier.urihttp://hdl.handle.net/11556/345
dc.description.abstractThe amount of on-line available open information from heterogeneous sources and domains is growing at an extremely fast pace, and constitutes an important knowledge base for the consideration of industries and companies. In this context, two relevant data providers can be highlighted: the “Linked Open Data” and “Social Media” paradigms. The fusion of these data sources – structured the former, and raw data the latter –, along with the information contained in structured corporate databases within the organizations themselves, may unveil significant business opportunities and competitive advantage to those who are able to understand and leverage their value. In this paper, we present a use case that represents the creation of an existing and potential customer knowledge base, exploiting social and linked open data based on which any given organization might infer valuable information as a support for decision making. In order to achieve this a solution based on the synergy of big data and semantic technologies will be designed and developed. The first will be used to implement the tasks of collection and initial data fusion based on natural language processing techniques, whereas the latter will perform semantic aggregation, persistence, reasoning and retrieval of information, as well as the triggering of alerts over the semantized information.en
dc.language.isoengen
dc.publisherSPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANYen
dc.titleSemantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Databaseen
dc.typeconferenceObjecten
dc.identifier.doi10.1007/978-3-319-10422-5_23en
dc.isiYesen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsBig Dataen
dc.subject.keywordsSocial Mediaen
dc.subject.keywordsLinked Open Dataen
dc.subject.keywordsBusiness intelligenceen
dc.subject.keywordsInformation fusionen
dc.subject.keywordsOntology managementen
dc.subject.keywordsInformation modellingen
dc.journal.titleStudies in Computational Intelligenceen
dc.page.final221en
dc.page.initial211en
dc.volume.number570en


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