Abstract
Due to global computerization of society and heavy increase of information flow ontologies found a use in many fields concerning with big data processing. A great number of computer applications use ontology as a tool of knowledge representation. However, the problem of ontology development is still difficult and time consuming task. This paper demonstrates a new integrated algorithm of CAD tasks ontology development. Two experiments of domain ontology development were performed. The result is visualized in Protégé 4.2. The developed ontology intends the further modifications by the researchers from all over the world. This allows improve efficiency of knowledge processing and classification of large data arrays of a specific domain.
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References
Kureychik, V.M., Semenova, A.V.: Domain ontology development for linguistic purposes. In: 9th International Conference on Application of Information and Communication Technologies, pp. 83–87. IEEE Press, Rostov-on-Don (2015)
Webster dictionary. http://www.webster-dictionary.net
Dobrov, B.V., Ivanov, V.V., Lukashevich, N.V., Solov’ev, V.D.: Ontology and Thesaurus: Models, Tools, Applications. BINOM, Moscow (2013)
Gruber, T.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum. Comput. Stud. 43(4–5), 907–928 (1995)
Kagalovsky, M.R.: Conceptual and ontological modeling in information systems. Program. Comput. Softw. 35(5), 241–256 (2009)
Kureychik, V.M., Safronenkova, I.B.: Creation of CAD-systems ontology using Protege 4.2. In: All-Russia Science&Technology Conference “Problems of Advanced Micro- and Nanoelectronic Systems Development”, vol. 3, pp. 240–245. IPPM RAN (2016)
Cuypers, H.: Discrete Mathematics. Springer, Heidelberg (2007)
Noy, N., McGuinness, D.: Ontology development 101: a guide to creating your first ontology. Stanford Knowledge Systems Laboratory Technical report KSL-01-05 and Stanford Medical Informatics Technical report SMI-2001-0880 (2001)
Drumond, L., Girardi, R.: A survey of ontology learning procedures. In: Proceedings of the 3rd Workshop on Ontologies and their Applications. CEUR Workshop Proceedings, vol. 427 (2008)
Biemann, C.: Ontology learning from text: a survey of methods. LDV-Forum 20, 75–93 (2005)
Introduction to Ontology Learning. http://www.jens-lehmann.org/files/2014/pol_introduction.pdf
A Tutorial on Clustering Algorithms. http://home.deib.polimi.it/matteucc/Clustering/tutorial_html/
Maedchen, A., Staab, S.: Ontology learning. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies Euro-Par 2004. International Handbooks on Information Systems, vol. 2, pp. 173–190. Springer, Heidelberg (2004). doi:10.1007/978-3-540-24750-0_9
Gavrilova, T.A., Kudryavtsev, D.V., Muromtsev, D.I.: Knowledge Engineering: Models and Methods. St. Petersburg, Lan’ (2016)
Bayesian Inference. https://cran.r-project.org/web/packages/LaplacesDemon/vignettes/BayesianInference.pdf
Kureychik, V.M., Safronenkova, I.B.: Automated classification cad-system tasks using domain ontology. In: Conference on Artificial Intellegence «CAI 2016», vol. 2, pp. 216–223. Universum, Smolensk (2016)
Acknowledgments
We thank collaborators of automated engineering system department for work results discussion. This research is provided by the Russian Foundation for Basic Research through grant #2.5537.2017/ ВУ in South Federal University
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Kureichik, V., Safronenkova, I. (2017). Integrated Algorithm of the Domain Ontology Development. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-319-57261-1_15
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