Anatoly Gladun

Work place: International Research and Training Centre of Information Technologies and Systems, National Academy of Sciences and Ministry of Education of Ukraine, Kyiv, Ukraine



Research Interests: Software Creation and Management, Software Engineering, Computational Learning Theory, Network Architecture, Network Security, Information Retrieval


Dr. Anatoly Gladun was born in Rivne, Ukraine in 1961. He received the B.Sc. and M.Sc. degrees from Technical University in Lviv, Ukraine in 1984. He holds a PhD in Department of Computer Sciences at the Electrotechnical University (Saint-Petersburg, Russia). He is Head of Department of Intelligent Systems at the International Research and Training Centre of Information Technologies and Systems (National Academy of Sciences). He has been involved in several national and internal research projects (FP5), for example, INCO-Copernicus Project 960114 – EXPERNET "A distributed Expert System for the Management of the National Network”, Grant NATO NIG 971779 - "National Telecommunication Networks for Scientific and Educational Institutions” – URAN, ATM-Sat Project “ATM-Based Multimedia Communication” (in GMD FOKUS, Berlin, 2000-2001) etc. Several national research projects, for example, “Research of intellectualization means for multi-agent information retrieval systems”. He is the author of more than a 150 publications in conferences, journals and books. His research interests include the development and application of knowledge technologies to different fields such as e-Medicine, e-Commerce, e-Learning, Retrieval Systems, Semantic Web, Network Management, Intelligent Software Agents (models, architectures, methodologies of development) and their Application; Semantic Web Services, Ontologies, Wireless Networks. He is an Associate Professor at the Department of Computer Science (half-time) at University “KievMogyla Academy”, ( and at European university in Kiev, (

Author Articles
Use of Semantic Web Technologies and Multilinguistic Thesauri for Knowledge-Based Access to Biomedical Resources

By Anatoly Gladun Julia Rogushina

DOI:, Pub. Date: 8 Feb. 2012

For more relevant informational retrieval and matching of user request with metadata about biomedical informational recourses it is necessary to formulize the user knowledge about this subject domain. We propose to use the ontologies and associated with them thesauri of the appropriate subject domains for representation of biomedicine knowledge. The algorithms of formation and normalization of the multilinguistic thesauruses, and also methods of their comparison are given in this work.

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