APPROACHES TO KNOWLEDGE EXTRACTION IN SCIENTIFIC SUBJECT DOMAINS

Natalia P. Tuchkova, Olga M. Ataeva

Dorodnicyn Computing Center of Federal Research Center “Informatics and Control” of Russian Academy of Science

The studying is focusing to the problem of extracting knowledge from heterogeneous digital data. An overview of metric characteristics applicable to the comparison of subject areas by formal criteria is given. Methods of artificial intelligence used for the classification of information resources by subject domains and areas of application are presented. Applications are illustrated with mathematical subject domains.

data structuring, domain thesaurus, metrics, ODE thesaurus

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