Neophitna T. Сategory models and augmenter method of hierarchical domains' knowledge base of the automatized systems

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0407U004848

Thesis Registration Form

0407U004848.pdf

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

24-10-2007

Specialized Academic Board

Д 64.052.01

Kharkiv National University Of Radio Electronics

Essay

In the thesis category models and augmenter method of hierarchical knowledge base of domains are developed which are use-oriented while developing universal and specialized knowledge base management systems, expert information processing systems for decision-making that will allow to raise efficiency of development of knowledge bases in dynamic domains, to improve quality of knowledge bases due to the account of semantic domains' regularities. Scientific results are: mathematical model of the knowledge base of domain of decision-making system; set of axioms and consequences reflecting semantic regularities of hierarchical structures of domains' knowledge systems; augmenter method of hierarchical domains' knowledge base of the automatized systems; set of augmenter rules of hierarchical domains' knowledge bases of the automatized systems.

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Files

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