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Semantic model of the knowledge base of intellectual help system
Davydenko Irina Timofeevna

assistant Department of Intelligent Information Technologies, Belarusian State University of Informatics and Radioelectronics

220013, Belarus, Minsk, ul. P.Brovki, 6

ir.davydenko@gmail.com
Другие публикации этого автора
 

 

Abstract.

The work is devoted to the basic principles underlying the design of complex technique of semantic models of knowledge bases of intelligent information systems. The knowledge base is one of the key components of intelligent systems for various purposes. In developing the knowledge base is essential to ensure not only the ability to store knowledge and navigate through it, but also the opportunity to work on the creation and modification of knowledge distributed team of developers. The paper proposes a technology for component design of a knowledge base, based on unified semantic networks with the basic set-theoretic interpretation. This technology is a set of models, tools and methods for the design of knowledge bases. Semantic model of intellectual system knowledge base is a formal interpretation of the semantic space, which is known for intelligent system at the current time. This model is part of the technology component design knowledge base of intelligent systems based on semantic networks.

Keywords: structuring, systematization, semantic network, intelligent system, semantic space, knowledge base, semantic model, design, technology, verification

DOI:

10.7256/2306-4196.2013.2.8307

Article was received:

25-05-2013


Review date:

26-05-2013


Publish date:

1-4-2013


This article written in Russian. You can find full text of article in Russian here .

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