Architecture of systemic knowledge formalization.
Item
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Title
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Architecture of systemic knowledge formalization.
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Identifier
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AAI9530939
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identifier
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9530939
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Creator
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Zhang, Zhanyang.
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Contributor
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Advisers: Miriam R. Tausner | Robert A. Orchard
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Date
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1995
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Language
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English
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Publisher
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City University of New York.
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Subject
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Computer Science
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Abstract
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Knowledge engineering is the process of building knowledge based systems. Knowledge elicitation is usually considered to be the major bottleneck in this process. In this dissertation we developed a domain-independent framework for modeling domain-specific knowledge that actively assists in the elicitation of knowledge.;Recent advances in the general systems theory and systemic knowledge engineering have led to the belief in the existence of knowledge structures that can intrinsically capture the expertise of a domain expert. Herein we define and formalize what these knowledge structures are and investigate their usage in modeling the problem solving process of a domain expert. This approach integrates an epistemological systems hierarchy, especially a meta-system definition into systemic knowledge engineering and leads to the formalization of systemic knowledge hierarchy.;In our formalism, knowledge consists basic knowledge and meta-knowledge. Basic knowledge is structured information. Basic knowledge has been well defined in the literature. Meta-knowledge imposes further structure on basic knowledge as well as directly structures information to increase the knowledge content of the knowledge hierarchy. It is the first time in this dissertation that meta-knowledge is formalized using systemic knowledge structures. This formalism is powerful enough to formalize the actual knowledge of domain experts in numerous applications. It also helps organize the elicited knowledge and aids in the subsequent knowledge elicitation.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
