A representation of complex events and processes for the acquisition of knowledge from texts

    Authors

    F. Gomez

    Comments

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    Abbreviated Journal Title

    Knowledge-Based Syst.

    Keywords

    knowledge representation; event-centered representation; knowledge; acquisition from texts; SYSTEM; Computer Science, Artificial Intelligence

    Abstract

    Temporal event hierarchies are proposed as a technique to represent knowledge in texts describing processes. The representation is that which a program, without prior knowledge about these processes, will be able to acquire by reading a description of a process. The representation is intended to be used by programs that acquire knowledge from texts. This representation is viewed as a bridge between the English description of a biological system and deeper representations of systems such as those proposed by qualitative physics and model-based reasoning. The representation is based on temporal relationships that are used to index and organize knowledge about biological systems (circulatory, respiratory, urinary, etc.) in a hierarchy of events. Several reasoning methods that the proposed representation permits are explained. The event centered representation proposed here is also related to object centered representations. Finally, algorithms for the automated construction of the event hierarchies are explained. (C) 1998 Elsevier Science B.V.

    Journal Title

    Knowledge-Based Systems

    Volume

    10

    Issue/Number

    4

    Publication Date

    1-1-1998

    Document Type

    Article

    Language

    English

    First Page

    237

    Last Page

    251

    WOS Identifier

    WOS:000072009200004

    ISSN

    0950-7051

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