• DocumentCode
    185676
  • Title

    Combining domain and business ontologies in a modular construction method: EDF study case

  • Author

    Royer, Kevin ; Bellatreche, Ladjel ; Jean, Stephane

  • Author_Institution
    EDF R&D, Moret sur Loing, France
  • fYear
    2014
  • fDate
    26-30 May 2014
  • Firstpage
    1452
  • Lastpage
    1457
  • Abstract
    Ontologies are seen by companies such as EDF1 as an answer to the data heterogeneity problem. However the design and management of consensual and complete ontologies in new and evolving domains remain important challenges that must be tackled for the widespread adoption of this notion. In this paper we present the approach we have developed to overcome these issues in the context of a data warehouse project with EDF concerning the electric mobility development. We first propose an incremental and modular design of ontologies. Then we suggest to formalize not only the domain knowledge as an ontology but also the business processes followed to exploit this knowledge. As a result, this method allows engineers to use the ontology as an interface for manipulating heterogeneous data as well as for reusing existing business processes. Finally we report the results and benefits of our approach for the project conducted with EDF.
  • Keywords
    business data processing; data warehouses; ontologies (artificial intelligence); EDF study case; EDF1; business ontology; business process; data heterogeneity problem; data warehouse project; domain ontology; electric mobility development; heterogeneous data; incremental design; modular construction method; modular design; widespread adoption; Business; Data warehouses; Design methodology; Electricity; Ontologies; Vehicles; Business Ontology; Domain Ontology; Study Case;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on
  • Conference_Location
    Opatija
  • Print_ISBN
    978-953-233-081-6
  • Type

    conf

  • DOI
    10.1109/MIPRO.2014.6859795
  • Filename
    6859795