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From Business Intelligence to Semantic Data Stream Management

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Advances in Conceptual Modeling (ER 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8823))

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Abstract

The Semantic Web technologies are being increasingly used for exploiting relations between data. In addition, new tendencies of real-time systems, such as social networks, sensors, cameras or weather information, are continuously generating data. This implies that data and links between them are becoming extremely vast. Such huge quantity of data needs to be analyzed, processed, as well as stored if necessary. In this paper, we will introduce recent work on Real-Time Business Intelligence that includes semantic data stream management. We will also present underlying approaches such as continuous queries and data summarization.

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Author information

Authors and Affiliations

  1. MAS Lab Ecole Centrale Paris, France

    Marie-Aude Aufaure

  2. ISEP - LISITE, Paris, France

    Raja Chiky

Authors
  1. Marie-Aude Aufaure
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  2. Raja Chiky
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Editor information

Editors and Affiliations

  1. UQ Business School, The University of Queensland, 4072, St Lucia, QLD, Australia

    Marta Indulska

  2. 316B Information Sciences and Technology Building, Penn State University, 16802, University Park, PA, USA

    Sandeep Purao

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© 2014 Springer International Publishing Switzerland

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Aufaure, MA., Chiky, R. (2014). From Business Intelligence to Semantic Data Stream Management. In: Indulska, M., Purao, S. (eds) Advances in Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8823. Springer, Cham. https://doi.org/10.1007/978-3-319-12256-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-12256-4_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12255-7

  • Online ISBN: 978-3-319-12256-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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