• DocumentCode
    173013
  • Title

    On-Demand Data Integration on the Cloud

  • Author

    Ghafour, Samer Abdul ; Barhamgi, Mahmoud ; Ghodous, Parisa

  • Author_Institution
    Claude Bernard Univ. Lyon 1, Villeurbanne, France
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    924
  • Lastpage
    927
  • Abstract
    On-demand data integration is among the key challenges in Cloud Computing. In this paper, we present an ontology-based framework for describing and integrating data on the fly to answer transient business needs. We provide a semantic modeling for cloud´s data services. The proposed modeling makes it possible to automatically resolve the different types of data heterogeneity that would arise when data from heterogeneous and autonomous providers need to be combined together to answer the business´s data needs.
  • Keywords
    business data processing; cloud computing; data integration; ontologies (artificial intelligence); business data needs; cloud computing; cloud data services; data heterogeneity; on-demand data integration; ontology-based framework; semantic modeling; transient business needs; Business; Data integration; Mashups; Ontologies; Resource description framework; Semantics; On-demand data integration; Ontologies; Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.127
  • Filename
    6973833