• DocumentCode
    3035711
  • Title

    Context Aware Information Retrieval for Enhanced Situation Awareness

  • Author

    Bahrami, Ali ; Yuan, Jun ; Smart, Paul R. ; Shadbolt, Nigel R.

  • Author_Institution
    Mathematics & Computing Technology, Boeing Phantom Works, P.O. Box 3707, M/C 7L-70, Seattle, Washington, 8124, U.S.A
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the coalition forces, users are increasingly challenged with the issues of information overload and correlation of information from heterogeneous sources. Users might need different pieces of information, ranging from information about a single building, to the resolution strategy of a global conflict. Sometimes, the time, location and past history of information access can also shape the information needs of users. Information systems need to help users pull together data from disparate sources according to their expressed needs (as represented by system queries), as well as less specific criteria. Information consumers have varying roles, tasks/missions, goals and agendas, knowledge and background, and personal preferences. These factors can be used to shape both the execution of user queries and the form in which retrieved information is packaged. However, full automation of this daunting information aggregation and customization task is not possible with existing approaches. In this paper we present an infrastructure for context-aware information retrieval to enhance situation awareness. The infrastructure provides each user with a customized, mission-oriented system that gives access to the right information from heterogeneous sources in the context of a particular task, plan and/or mission. The approach lays on five intertwined fundamental concepts, namely Workflow, Context, Ontology, Profile and Information Aggregation. The exploitation of this knowledge, using appropriate domain ontologies, will make it feasible to provide contextual assistance in various ways to the work performed according to a user´s task-relevant information requirements. This paper formalizes these concepts and their interrelationships.
  • Keywords
    Computer science; Context awareness; History; Imaging phantoms; Information retrieval; Information systems; Intelligent sensors; Mathematics; Ontologies; Peer to peer computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2007. MILCOM 2007. IEEE
  • Conference_Location
    Orlando, FL, USA
  • Print_ISBN
    978-1-4244-1513-7
  • Electronic_ISBN
    978-1-4244-1513-7
  • Type

    conf

  • DOI
    10.1109/MILCOM.2007.4454827
  • Filename
    4454827