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dc.contributor.authorBerlanga Llavori, Rafael
dc.contributor.authorGarcía Moya, Lisette
dc.contributor.authorNebot Romero, María Victoria
dc.contributor.authorAramburu Cabo, María José
dc.contributor.authorSanz Blasco, Ismael
dc.contributor.authorLlidó Escrivá, Dolores María
dc.date.accessioned2016-02-02T10:22:29Z
dc.date.available2016-02-02T10:22:29Z
dc.date.issued2015
dc.identifier.citationBERLANGA LLAVORI, Rafael; GARCÍA MOYA, Lisette; NEBOT ROMERO, María Victoria; ARAMBURU CABO, María José; SANZ BLASCO, Ismael; LLIDÓ ESCRIVÁ, Dolores. ,SLOD-BI: An Open Data Infrastructure for Enabling Social Business Intelligence. International Journal on Data Warehousing and Data Mining, (2015) Vol. 11 (4), pp. 1-28ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/147666
dc.description.abstractThe tremendous popularity of web-based social media is attracting the attention of the industry to take profit from the massive availability of sentiment data, which is considered of a high value for Business Intelligence (BI). So far, BI has been mainly concerned with corporate data with little or null attention to the external world. However, for BI analysts, taking into account the Voice of the Customer (VoC) and the Voice of the Market (VoM) is crucial to put in context the results of their analyses. Recent advances in Sentiment Analysis have made possible to effectively extract and summarize sentiment data from these massive social media. As a consequence, VoC and VoM can be now listened from web-based social media (e.g., blogs, reviews forums, social networks, and so on). However, new challenges arise when attempting to integrate traditional corporate data and external sentiment data. This paper deals with these issues and proposes a novel semantic data infrastructure for BI aimed at providing new opportunities for integrating traditional and social BI. This infrastructure follows the principles of the Linked Open Data initiativeca_CA
dc.description.sponsorShip“Ministerio de Economía y Competitividad” (Spain) with contract number TIN2011-24147 and TIN2014-55335-Rca_CA
dc.format.extent28 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherIGI Globalca_CA
dc.relation.isPartOfInternational Journal on Data Warehousing and Data Mining, (2015) Vol. 11 (4)ca_CA
dc.subjectSocial Business Intelligenceca_CA
dc.subjectLinked Open Data,ca_CA
dc.subjectSentiment Analysisca_CA
dc.titleSLOD-BI: An Open Data Infrastructure for Enabling Social Business Intelligenceca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.4018/ijdwm.2015100101
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.igi-global.com/article/slod-bi/130664ca_CA


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