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Representing knowledge patterns in a conceptual database design aid : a dual-base knowledge model

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Chang, Tsiar-Yuan (1998) Representing knowledge patterns in a conceptual database design aid : a dual-base knowledge model. PhD thesis, University of Warwick.

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Official URL: http://webcat.warwick.ac.uk/record=b1363692~S15

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Abstract

The current status of the Knowledge-Based Database Design Systems (KBDDSs)
is reviewed. It is shown that they do not resolve the problems of the identification
of the relevant objects (relations) and the interpretation of the identified objects
from the semantic-rich reality.
Consequently, a theoretical architecture is developed to alleviate these problems
by reusing the finished conceptual data schemata. By taking account of the
essence of the reality and the problem-solving behaviour of experts, a new
knowledge model called the Dual-Base Knowledge Model (DBKM), which
involves two syngeristic knowledge structures, the concept and case bases, is
constructed by the theories of conceptual knowledge in the psychological realm
and the notions of relation and function from set theory. The aim is to provide
rational and valid grounds for the support and interplay of these two bases in order
to reuse the relevant old cases and facilitate the acquisition of new cases. Thus,
the process model, which involves two process mechanisms, the case retrieval and
knowledge accumulation mechanisms, is analysed according to the theory of the
proposed DBKM. In this way, the feasibility of reusing the relevant schemata or
part of them can be established in the DBKM architecture.
The functionality of the DBKM architecture is tested by a simulated example to
show how the relevant cases are recalled in the knowledge pool and the new
knowledge is stored in the knowledge repository. The distinctions between the
DBKM architecture and the frameworks of current KBDDSs and Case-Based
Reasoning (CBR) systems (from the knowledge-based system view), and between
the DBKM and those knowledge models in current KBDDSs and rule-based data
modelling approaches (from the knowledge-modelling view) are investigated to
contrast the current levels of progress of the conceptual data modelling.
This research establishes the feasibility of the DBKM architecture, although it
demonstrates the need to accommodate the dynamic and functional aspects of the
Universe of Discourse (UoD). The main contributions of the DBKM are (1) to
provide a valid basis for complementing the environments supported by the
current KBDDSs and a rational basis for creating the symbiosis of humans and
computer; and (2) to moderate the beliefs underlying the fact-based school and
provide a hermeneutic environment, so that the confusion of the current
conceptualising work can be alleviated and the difficulty of the conceptualising
task can be eased to some degree.

Item Type: Thesis or Dissertation (PhD)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Library of Congress Subject Headings (LCSH): Database design, Knowledge management, Expert systems (Computer science)
Official Date: June 1998
Dates:
DateEvent
June 1998Submitted
Institution: University of Warwick
Theses Department: Warwick Business School
Thesis Type: PhD
Publication Status: Unpublished
Supervisor(s)/Advisor: Hurrion, R. D. (Robert D.)
Extent: xx, 215, 26, 84 leaves
Language: eng

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