DOI: 10.17587/prin.7.51-60

Technology for Building Subject-Based Intelligent Scientific Internet Resources Based on Ontology

Yu. A. Zagorulko, e-mail: zagor@iis.nsk.su, G. B. Zagorulko , e-mail: gal@iis.nsk.su, O. I. Borovikova, e-mail: olesya@iis.nsk.su, A. P. Ershov Institute of informatics systems of Siberian Branch of Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation

Corresponding author: Zagorulko Yury A., Head of Laboratory, A. P. Ershov Institute of informatics systems of Siberian Branch of Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation, e-mail: zagor@iis.nsk.su

The paper discusses a technology of the development of subject-based Intelligent Scientific Internet Resources which provides content-based access to systematized scientific knowledge and information resources (ISIR) related to a certain knowledge area and to their intelligent processing facilities. An important merit of ISIR is its ability to reduce appreciably the time required to access and analyze information thanks to the accumulation of the semantic descriptions of the basic entities of a knowledge area being modeled, the Internet resources relevant to this area, and the information processing facilities used in it directly in the ISIR content. The specific features of the technology are the use of ontology and semantic network formalisms as well as orientation to experts. For the considered technology ontology is used not only for formalization and systematization of above-mentioned kinds of knowledge, information resources and processing facilities, but also for organization of convenient access to them

Keywords: intelligent scientific Internet resource, ontology, semantic network, thesaurus, technology, metasearch, information extraction

pp. 51–60

For citation:
Zagorulko Yu. A., Zagorulko G. B., Borovikova O. I. Technology for Building Subject-Based Intelligent Scientific Internet Resources Based on Ontology, Programmnaya Ingeneria, 2016, vol. 7, no. 2, pp. 51—60.

This work was supported by the Russian Foundation for Basic Research, project no. 13-07-00422