knowledge base

Метод видобування знань з текстових документів

In the paper a method an algorithm and tools for selection of knowledge from a text document are suggested. It is shown that this algorithm has to be multistage and involve hierarchical procedure of concepts recognition of relations, predicates and rules which are introduced into the resulting ontology.

Методи видобування даних з баз нечітких знань

The paper aims to study the fuzzy data mining techniques. The emphasis is put on an intelligent analysis of fuzzy knowledge bases and problems that arise. Most popular methods are described, their advantages and results obtained with their assistance are highlighted. Generalized use cases of such methods are given.

Проблема автоматизованої розбудови базової онтології

In the paper the method of the automatic development of ontology has been developed. A method, algorithm and means for selection of knowledge from the text document is proposed. It is shown that this algorithm has to be multistage and involve hierarchical recognition procedure of concepts, relations, predicates and rules which are included into the resulting ontology.

Метод оцінювання якості онтологій баз знань інтелектуальних систем на основі ISO/IEC 25012

The importance of ontology within concepts of the knowledge base and intelligent systems is considered in the article. Standard ISO/IEC 25012 has been offered for evaluation of ontologies qualities of knowledge bases of intelligent decision support systems.

Approximation of trustworthiness of information objects of subject area ontology based on polynomial splines

The method of coefficient approximation of information objects domain ontologies reliability is proposed in the article. This method is based on polynomial splines. It makes it possible to remove unnecessary ontology objects that possess the reliability limit below a certain pre-specified point.