• DocumentCode
    2164134
  • Title

    Ontologies and Rules for Rapid Enterprise Integration and Event Aggregation

  • Author

    Stoutenburg, Suzette ; Obrst, Leo ; Nichols, Deborah ; Franklin, Paul ; Samuel, Ken ; Prausa, Michael

  • Author_Institution
    MITRE Corp., Bedford, MA
  • fYear
    2007
  • fDate
    15-16 Oct. 2007
  • Firstpage
    173
  • Lastpage
    108
  • Abstract
    Ontologies enable explicit expression of collective concepts and support Machine-to-Machine (M2M) interactions at the semantic level. Ontologies expressed in a standard language, such as the Web Ontology Language (OWL) and exposed on a network offer the potential for unprecedented interoperability solutions since they are semantically rich, computer interpretable and inherently extensible. Rules that operate over ontologies allow for fusion of events in a semantically rich way. In this paper, we describe how we applied ontologies and rules for rapid enterprise integration of heterogeneous data sources and aggregation of events in the battlefield. We found that once a robust foundational domain ontology is established, it is easy and quick to integrate new data sources and therefore rapidly provide new system capabilities. We also found that rules that operate over ontological concepts are useful in agile aggregation of events for enhanced situational awareness.
  • Keywords
    business data processing; ontologies (artificial intelligence); open systems; Web ontology language; event aggregation; machine-to-machine interactions; ontologies; rapid enterprise integration; standard language; Command and control systems; Computer networks; Degradation; Military computing; OWL; Ontologies; Programming; Prototypes; Robustness; Satellite communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EDOC Conference Workshop, 2007. EDOC '07. Eleventh International IEEE
  • Conference_Location
    Annapolis, MD
  • Electronic_ISBN
    978-0-7695-3338-4
  • Type

    conf

  • DOI
    10.1109/EDOCW.2007.22
  • Filename
    4566970