From Business Intelligence to semantic data stream management
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- 作者：Marie-Aude Aufaurea ; marie-aude.aufaure@ecp.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Raja Chikyb ; raja.chiky@isep.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Olivier Curé ; c ; olivier.cure@lip6.fr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Houda Khroufd ; houda.khrouf@atos.net" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Gabriel Kepekliand ; gabriel.kepeklian@atos.net" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Data stream ; Linked Data ; Business Intelligence ; Stream reasoning
- 刊名：Future Generation Computer Systems
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：63
- 期：Complete
- 页码：100-107
- 全文大小：959 K
文摘
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Evolution of Business Intelligence with emergence of Big Data technologies.
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New technologies and approaches the 3Vs (Volume, Velocity and Variety) of Big data.
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Stream reasoning over Big Data.
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Summarizing data streams (semantic and classic data).
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Semantic data matching in stream context.