A methodology for inferring hierarchies representing heuristic knowledge about the check out, control, and monitoring sub-system (CCMS) of the space shuttle launch processing system from natural language input is explained. Our method identifies failures explicitly and implicitly described in natural language by domain experts and uses those descriptions to recommend classifications for inclusion in the experts' heuristic hierarchies.


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    Titel :

    Inferring heuristic classification hierarchies from natural language input


    Beteiligte:
    Hull, Richard (Autor:in) / Gomez, Fernando (Autor:in)


    Erscheinungsdatum :

    01.01.1993


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


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