• DocumentCode
    3423883
  • Title

    ENIO: An Enterprise Application Integration Ontology

  • Author

    Bouras, Athanasios ; Gouvas, Panagiotis ; Mentzas, Gregoris

  • Author_Institution
    Nat. Tech. Univ. of Athens, Athens
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    419
  • Lastpage
    423
  • Abstract
    If we try to increase the level of automation in enterprise application integration (EAI) scenarios, we confront challenges related to the resolution of data heterogeneities, service discovery and process composition. In this paper, we propose the enterprise interoperability ontology (ENIO) that provides a shared, common understanding of data, services and processes within enterprise application integration scenarios. ENIO consists of an upper EAI ontology, which is based on the DOLCE-SUMO alignment, with extensions called facets that cover several dimensions of the EAI domain. Each facet contains a relative meta-model that utilizes widely adopted standards.
  • Keywords
    business data processing; ontologies (artificial intelligence); open systems; DOLCE-SUMO alignment; enterprise application integration ontology; enterprise interoperability ontology; Application software; Automation; Data structures; Databases; Documentation; Expert systems; Impedance; Ontologies; Service oriented architecture; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
  • Conference_Location
    Regensburg
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-2932-5
  • Type

    conf

  • DOI
    10.1109/DEXA.2007.25
  • Filename
    4312928