Classification Approac to Management of Polythematic Knowledge

Abstract

This paper gives a brief description of the being created system of information support for innovation activities in the Republic of Kazakhstan, which is built as an information portal, that provides navigation in the national and global information space through the provision of metadata about information resources, relevant to the user’s task. The corporate knowledge management system is considered as a component of the information infrastructure for supporting innovation. An approach to the management of polythematic knowledge is proposed, envisaging the representation of knowledge, based on the use of classification type languages. In this case, a thematic rubricator is introduced into the ontology model instead of a thesaurus, where each category (rubric) has its own code, name and set of keywords, characterizing its thematic content. The proposed joint use of thematic rubrics of Russian State rubricator of scientific-engineering information and All-Russian institute of scientific and engineering information allows increase the degree of accuracy of the knowledge presentation, as well as take advantage of establishing the associative relations between different classification systems. Along with this, there is maintained the possibility of a verbal knowledge description in terms of keywords, characterizing the content of subject entries and words from the rubrics titles.