• DocumentCode
    3578609
  • Title

    A semantic framework for data integration and communication in project consortia

  • Author

    Ekaputra, Fajar J. ; Serrai, Estefania ; Winkler, Dietmar ; Biffl, Stefan

  • Author_Institution
    Inst. of Soft. Tech. & Inf. Syst., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Engineering project consortia represents the collaboration of different groups of partners to achieve a common goal, e.g., developing innovative products. This collaboration may be challenging because of different terminologies and different tools and data models used by the project partners. In this work, we present the concept of a Project Consortia Knowledge Base (PC-KB), an integration framework based on semantic knowledge that facilitates project-level communication as well as access to and querying of project data across tool and partner boundaries. The PC-KB allows establishing common data models on different abstraction layers within the consortia organization. Using these common models, the PC-KB integrates partner data to provide (a) a common terminology for facilitating communication among project partners and (b) a common consistent view for efficient data integration. The PC-KB has been successfully applied in the automation systems domain to improve collaboration and data exchange in heterogeneous engineering environments.
  • Keywords
    data communication; data integration; data models; knowledge based systems; query processing; semantic networks; PC-KB; abstraction layer; data integration; data model; project consortia knowledge base; project data query; project-level communication; semantic knowledge; Collaboration; Data integration; Data models; Knowledge based systems; Ontologies; Organizations; Semantics; Project consortia; communication; data integration; heterogeneous data environments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data and Software Engineering (ICODSE), 2014 International Conference on
  • Print_ISBN
    978-1-4799-8175-5
  • Type

    conf

  • DOI
    10.1109/ICODSE.2014.7062487
  • Filename
    7062487