Methodology for the development of ontologies for thematic intelligent scientific internet resources

Yury A. Zagorulko, Olesya I. Borovikova, Galina B. Zagorulko

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

The paper presents the methodology used to develop ontologies for thematic intelligent scientific Internet resources (ISIR). ISIR provide content-based access to systematized scientific knowledge and information resources of a certain field of knowledge, as well as to the information processing and analysis facilities related to this field. Ontology is used in ISIR not only to formalize, describe and systematize heterogeneous knowledge and resources, but also to organize convenient access to them. Building ontologies that have these properties is a very complex and time-consuming process. To facilitate it, we have proposed a methodology that includes a set of techniques and patterns of ontology development, as well as an original method for constructing the ontology of the thematic ISIR on the basis of a representative set of base ontologies. The application of this methodology is demonstrated on the example of developing ontology for the ISIR on decision support.

Original languageEnglish
Title of host publicationRPC 2017 - Proceedings of the 2nd Russian-Pacific Conference on Computer Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages194-198
Number of pages5
Volume2017-December
ISBN (Electronic)9781538612064
DOIs
Publication statusPublished - 5 Dec 2017
Event2017 IEEE International Conference on Cyber Conflict U.S., CyCon U.S. 2017 - Washington, United States
Duration: 7 Nov 20178 Nov 2017

Conference

Conference2017 IEEE International Conference on Cyber Conflict U.S., CyCon U.S. 2017
CountryUnited States
CityWashington
Period07.11.201708.11.2017

Keywords

  • intelligent scientific Internet resources
  • methodology of ontology development
  • ontology design pattern
  • Semantic Web technolog

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