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    Knowledge-structured information systems for understanding: An architecture and an implementation.

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    azu_td_9225175_sip1_c.pdf
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    Author
    Davalos, Sergio Victor.
    Issue Date
    1992
    Keywords
    Dissertations, Academic.
    Information science.
    Computer science.
    Knowledge management.
    Advisor
    George, Joey F.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    This research addresses the problem of developing computer-based systems to support the understanding of information by executive level users. The approach taken is based on the use of prior knowledge in the form of knowledge (cognitive) structures to understand new information. The knowledge structures used are case, schemata, concepts, and semantic networks. A system architecture for supporting information understanding, the Understanding Support System (USS), was developed and was implemented on an Apple Mac using HyperCard software. The USS is implemented in an object-oriented architecture using hypertext organization methods to support the cognitive process of associative information development and retrieval. Node and link representation and associative schemes are used to store and represent cognitive structures in the form of networks of interlinked nodes of knowledge. These networks are treated as individual units by the USS. The current system supports a single user for: (1) building mental representations, (2) using prior knowledge in the form of knowledge nodes, knowledge structures, and case knowledge, (3) using knowledge structures for knowledge base access, and (4) navigation of the knowledge base through links that associate knowledge nodes in the cognitive structures. Eventually the USS can support use of a corporate knowledge base by many users. An evaluation of the USS based on human-computer research methodologies for systems development is discussed.
    Type
    text
    Dissertation-Reproduction (electronic)
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Business Administration
    Graduate College
    Degree Grantor
    University of Arizona
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    Dissertations

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