The technical objectives are: 1. Formulate concepts and architectures that support data archiving for NASA science research and applications in the 10 to 20 year time frame. 2. Focus on architectural strategies that will support intelligent processes and functions. 3. Identify and characterize science and applications scenarios that drive intelligent archive requirements. 4. Assess technologies and research that will need the development of an intelligent archive. 5. Identify and characterize potential research projects that will be needed to develop and create an intelligent archive.


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    Titel :

    Intelligent Archives in the Context of Knowledge Building Systems: Concepts for the Future


    Beteiligte:
    Ramapriyan, H. K. (Autor:in) / McConaughy, Gail (Autor:in) / Lynnes, G. Chris (Autor:in) / Kempler, Steve (Autor:in) / McDonald, Ken (Autor:in)

    Kongress:

    AR and IDU PI Workshop ; 2004 ; Dana Point, CA, United States


    Erscheinungsdatum :

    2004-01-01


    Medientyp :

    Preprint


    Format :

    Keine Angabe


    Sprache :

    Englisch





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