PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Approach to decision support Intelligent Systems development based on Ontologies

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article describes approach to the decision support intelligent systems development based on ontologies as part of such systems knowledge bases. Such systems are classified in terms of their functioning based on ontologies. Mathematical functioning of decision support intelligent systems is developed, which is based on ontologies. The term adaptive ontology is introduced to denote that. The adaptive ontology model is defined as classic model development by adding weights of importance of concepts and relations, stored in ontology.
Twórcy
autor
  • Lviv Polytechnic National Univesity
autor
  • Lviv Polytechnic National Univesity
autor
  • Lviv Polytechnic National Univesity
Bibliografia
  • 1. Gruber T. A. 1993. Translation approach to portable ontologies. Knowledge Acquisition, № 5 (2):199–220.
  • 2. Guarino N. 1995. Formal Ontology, Conceptual Analysis and Knowledge Representation. International Journal of Human-Computer Studies, 43(5-6):625–640.
  • 3. Sowa J. 1992. Conceptual Graphs as a universal knowledge representation. In: Semantic Networks in Artificial Intelligence, Spec. Issue of An International Journal Computers & Mathematics with Applications. (Ed. F. Lehmann), № 2–5:75–95.
  • 4. Montes-y-Gómez M. 2000. Comparison of Conceptual Graphs. Lecture Notes in Artificial Intelligence, Vol. 1793. – Springer-Verlag.: http://ccc.inaoep.mx/~mmontesg/publicaciones/ 2000/ComparisonCG.
  • 5. Muller H. M., Kenny E. E., Sternberg P.W. 2004. “An Ontology-Based Information Retrieval and Extraction System for Biological Literature”. PLoS Biol. 2(11):e309. doi:10.1371/journal.pbio.0020309.
  • 6. Lytvyn V., Medykovskyj M., Shakhovska N., Dosyn D. 2012. “Intelligent Agent on the Basis of Adaptive Ontologies,”. Journal of Applied Computer Science.–Vol. 20, № 2.–P.71-77.
  • 7. Jacso, Peter. 2010. “The impact of Eugene Garfield through the prizm of Web of Science,”. Annals of Library and Information Studies, Vol. 57, September 2010, P. 222.
  • 8. Christiph Meinel Serge Lincels. 2007. Semantic interpretation of natural language user input to improve search in multimedia knowledge base. Information Technologies, 49(1):40–48.
  • 9. Dosyn D., Lytvyn V., Yatsenko A. 2012. DP-optimization of steel corrosion protection techniques in the intelligent diagnostic system. Physicochemical Mechanics of Materials, № 9:329–333.
  • 10. Christoph Meinel Serge Linckels. 2007. Semantic interpretation of natural language user input to improve search in multimedia knowledge base // Information Technologies, 49(1):40–48.
  • 11. Lytvyn V. Shakhovska N., Pasichnyk V., Dosyn D. 2012. Searching the Relevant Precedents in Dataspaces Based on Adaptive Ontology // Computational Problems of Electrical Engineering: International journal.– Lviv, 2012.– Vol.2, Num.1.– P.75-81.
  • 12. Dosyn D., Lytvyn V., Yatsenko A. 2012. DP-optimization of steel corrosion protection techniques in the intelligent diagnostic system // Physicochemical Mechanics of Materials.– № 9.– Lviv, 2012.– P. 329-333.
  • 13. Lytvyn V., Medykovskyj M., Shakhovska N., Dosyn D. 2012. Intelligent Agent on the Basis of Adaptive Ontologies // JOURNAL OF APPLIED COMPUTER SCIENCE.– 2012.– Vol. 20, № 2.– P.71-77.
  • 14. Lytvyn V. 2013. Design of intelligent decision support systems using ontological approach // An international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin-Lviv. – 2013. – Vol. II. – No 1. – 31-38.
  • 15. Knappe R., Bulskov H., Andreasen T. 2004. Perspectives on Ontology-based Querying // International Journal of Intelligent Systems. – http://akira.ruc.dk/~knappe/publications/ijis2004.pdf
  • 16. Lytvyn V., Dosyn D., Smolarz A. 2013. An ontology based intelligent diagnostic systems of steel corrosion protection // Elektronika. – Poland. – N 8. – 2013. – Р. 22-24.
  • 17. Lytvyn V. Semotuyk O., Moroz O. 2013. Definition of the semantic metrics on the basis of thesaurus of subject area // An international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin-Lviv. – 2013. – Vol. II. – No 4. – P. 47-51.
  • 18. ISO/IEC 9126:1991. Information technology – Software product evaluation – Quality characteristics and guidelines for their use. – 1991. – 39 p.
  • 19. Giorgos Stoilos, Giorgos Stamou, and Stefanos Kollias. 2005. A String Metric For Ontology Alignment // In Yolanda Gil, Enrico Motta, V. Richard Benjamins, and Mark A. Musen, editors, Proceedings of the 4rd International Semantic Web Conference (ISWC), volume 3729 of LNCS, pages 624–637, Berlin. Springer.
  • 20. Qiu Ji, Peter Haase, and Guilin Qi. 2008. Combination of Similarity Measures in Ontology Matching using the OWA Operator // In Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Base Systems (IPMU‟08).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cc962674-1538-492a-9a62-071d67ea1656
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.