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Definition of the semantic metrics on the basis of thesaurus of subject area

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The paper proposes an approach to construction of semantic metrics based on thesaurus of the domain of linguistics. The process of constructing a thesaurus is described. A way is proposed to use the built knowledge base to find potential partners who are engaged in similar research issues in the subject area for which thesaurus was constructed.
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  • Department of Information Systems and Networks, Department of Appliued Lingustics Lviv Polytechnic National University
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  • Department of Information Systems and Networks, Department of Appliued Lingustics Lviv Polytechnic National University
autor
  • Department of Information Systems and Networks, Department of Appliued Lingustics Lviv Polytechnic National University
Bibliografia
  • 1. Korshunov S.O. 2009. Tezarazusnoje modelirovanije terminologii i sintaksisa: dis. kandidata filolog. Nauk 10.02.19.—Irkutsk—253.
  • 2. Tabakova V.D. 2001. Ideograficheskoje opisanie nauchnoj terminologiji v specyalnyh slovariah. d-ra filolog. nauk 10.02.21. — Tiumen,—282.
  • 3. Frolova N.G. Metod tezarazusnogo modelirovanija kak sposob uporiaducheniya nauchnoj terminologiji. Rezym dostupa:www.cross-apk.ru/.../krt/.../Фролова% 20Н.Г..d...
  • 4. Strube M. 2006. WikiRelate! Computing semantic relatedness using Wikipedia. In Proceedings of the 21st National Conference on Artificial Intelligence(AAAI 06). Boston, Mass., July 16-20/ - http://www.emlresearch. de/english/research/nlp/public
  • 5. Jarmasz M. 2003. Roget's Thesaurus and semantic similarity / M.Jarmasz, S.Szpakowicz // In Proceedings of Conference on Recent Advances in Natural Language Processing (RANLP 2003). – Borovets, Bulgaria, September.– 212-219.
  • 6. Fellbaum C. 1998. WordNet: an electronic lexical database / C.Fellbaum. – MIT Press, Cambridge, Massachusetts– 423.
  • 7. Wu Z. 1994. Verb semantics and lexical selection / Z.Wu, M.Palmer // In Proc. of ACL-94.–133-138.
  • 8. Resnik P. 1995. Disambiguating noun groupings with respect to WordNet senses / In Proceedings of the 3rd Workshop on Very Large Corpora. MIT, June,– http://xxx.lanl.gov/abs/cmp-lg/9511006
  • 9. Resnik P. 1999. Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language / P.Resnik // Journal of Artificial Intelligence Research (JAIR).– Vol. 11. – 95-130.
  • 10. Lin D. 1998. An information-theoretic definition of similarity D.Lin // In Proceedings of International Conference on Machine Learning, Madison, Wisconsin, July– http://www.cs.ualberta.ca/~lindek/papers.htm
  • 11. Smirnov A.V. 2002. Ontologii v sistemah uskustvennogo intelekta: sposoby postrojenija I organizacii. Novosti iskustvennogo intelekta. – М.: Uzdat. RAII.– № 2. – 3–9.
  • 12. Sovpel' Y.V. 2004. Systema avtomatycheskoho yzvlechenyya znanyy yz teksta y ee prylozhenyya / Y.V. Sovpel' // Nauch.-teoret. zhurnal “Yskustvennыy yntelekt”, IPShI “Nauka i osvita”. –– Vyp. 3 – 668–677.
  • 13. Wu Z. 1994. Verb semantics and lexical selection / Z.Wu, M.Palmer // In Proc. of ACL-94.– 133-138.
  • 14. Nykytyna S. E. 1978. Tezaurus po teoretycheskoy y prykladnoy lynhvystyke. – M.
  • 15. LytvynV., Shakhovska N., PasichnykV. and Dosyn D. 2012. Searching the Relevant Precedents in Dataspaces Based on Adaptive Ontology. Computational Problems of Electrical Engineering. – Volume 2, Number 1. – Lviv, 75-81.
  • 16. Dosyn D. and Lytvyn V. 2012. Planning of Intelligent Diagnostics Systems Based Domain Ontology The VIIIth International Conference Perspective Technologies and Methods inMEMS Design. - Polyana, Ukraine, 103.
  • 17. Lytvyn V., Dosyn D., Medykovskyj M. and Shakhovska N. 2011. Intelligent agent on the basis of adaptive ontologies construction Signal Modelling Control. – Lodz.
  • 18. Svamy M. 1984. Hrafy, sety i alhorytmy / M. Svamy, K. Tkhulasyraman. –M.: Nauka,– 256.
  • 19. Montes-y-Gomez M., Gelbukh A. and Lopez-Lopez A. 2000. Comparison of Conceptual Graphs Lecture Notes In Artificial Intelligence Vol. 1793. – Springer-Verlag: http://ccc.inaoep.mx/~mmontesg/publicaciones/ 2000/ComparisonCG.
  • 20. Knappe R., Bulskov H. and Andreasen T. 2004. Perspectives on Ontology-based Querying International Journal of Intelligent Systems: http://akira.ruc.dk/~ knappe/publications/ijis2004.pdf
  • 21. Lytvyn V. 2013. Design of intelligent decision suport systems using ontological approach / V.Lytvyn // An international quarterly journal on economics In technology, new technologies and modelling processes. – Vol. II. – No 1. – 31-38.
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Bibliografia
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