• DocumentCode
    141657
  • Title

    Cross-domain methods and tools for decision support services based on context sensitivity approach

  • Author

    Scholze, Stefan ; Stokic, Dragan ; Kotte, O.

  • Author_Institution
    ATB Bremen, Bremen, Germany
  • fYear
    2014
  • fDate
    27-30 July 2014
  • Firstpage
    588
  • Lastpage
    593
  • Abstract
    Main objective of the paper is to create a generic methodology as well as context sensitive services based on an ontological approach, to support decision support across various application domains (e.g, manufacturing, software engineering). It is investigated how context sensitivity can be used in order to achieve high adaptivity of software solutions for decision support within the addressed application domains. This will result in realizing decision support services self-adaptable to the current identified context of users/products/services. The research will be driven by industrial application scenarios for decision support solutions for adapting of product extension services in several manufacturing companies in various sectors and for Quality Assurance of software development projects.
  • Keywords
    decision support systems; ontologies (artificial intelligence); application domain; context sensitive services; context sensitivity approach; cross-domain methods; decision support services; ontological approach; product context; product extension services; quality assurance; service context; software development projects; user context; Cognition; Context; Context modeling; Data mining; Monitoring; Ontologies; context sensitivity; decision support service; manufacturing; self-adaptivity; software quality assurance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2014 12th IEEE International Conference on
  • Conference_Location
    Porto Alegre
  • Type

    conf

  • DOI
    10.1109/INDIN.2014.6945579
  • Filename
    6945579