Abstract
In this paper, for ill-structured problem domains, we investigate knowledge representation models in the form of conceptual frameworks, which are constructed based on knowledge about one of objects presented in the problem domain. The expert construction of an ontology for a problem domain is considered for the cases where the features of an object take binary values or values from an ordered set of possible values.
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References
Rabchevskii, E.A., Automatic ontology construction based on lexical and syntactic patterns for information retrieval, Trudy 11-i Vserossiiskoi nauchnoi konferentsii “Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollektsii” RCDL'2009 (Proc. 11th Sci. Conf. Digital Libraries: Advanced Methods and Technologies, Digital Collections. RCDL'2009), Petrozavodsk: Rossiya, 2009, pp. 69–77.
Bol’shakova, E.I., Vasil’eva, N.E., and Morozov, S.S., Lexical and syntactic patterns for automatic analysis of scientific texts, Desyataya Natsional’naya konferentsiya po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-2006. Trudy konferentsii v 3-kh tomakh (10th Nat. Conf. on Artificial Intelligence with international participation KII-2006. Proc. in 3 vol.), Moscow: Fizmatlit, 2006, vol. 2, pp. 506–524.
Mozzherina, E.S., Automatic construction of ontologies from collections of text documents, Trudy 13-i Vserossiiskoi nauchnoi konferentsii “Elektronnye biblioteki: perspektivnye metody i tekhnologii, elektronnye kollektsii”. RCDL’2011 (Proc. 13th Sci. Conf. Digital Libraries: Advanced Methods and Technologies, Digital Collections. RCDL'2011), Voronezh: Rossiya, 2011.
Naikhanova, L.V., Methods and models of automatic construction of ontologies based on genetic and automata programming, Extended Abstract of Doctoral (Techn.) Dissertation, Krasnoyarsk, 2008.
Haav, H., A semi-automatic method to ontology design by using FCA, Proceedings of Concept Lattices and their Applications (CLA), Ostrava, 2004. pp. 13–24.
Cimiano, P., Staab, S., and Tane, J., Automatic acquisition of taxonomies from text: FCA meets NLP, Proceedings of the PKDD/ECML'03 International Workshop on Adaptive Text Extraction and Mining (ATEM), 2003, pp. 10–17.
Ganter, B. and Wille, R., Formal Concept Analysis, Mathematical Foundations, Springer, 1999.
Baader, F. and Molitor, R., Building and structuring description logic knowledge bases using least common subsumers and concept analysis, Proceedings of the 8th International Conference on Conceptual Structures (ICCS 2000), volume 1867 of Lecture Notes in Computer Science, Springer-Verlag, 2000, pp. 292–305.
Chechkin, A.V., Matematicheskaya informatika (Mathematical Informatics), Moscow: Nauka. Gl. red. Fizmat. lit, 1991.
Baader F., Calvanese D., McGuinness D., Nardi D., and Patel-Schneider, P.F., The Description Logic Handbook: Theory, Implementation, and Applications 2006.
Kulinich, A.A., Simulation of dynamic processes in the conceptual system of the subject for generation of creative solutions, in Kognitivnye issledovaniya: Sbornik nauchnykh trudov (Cognitive Studies: Collection of Scientific Papers), Solov’ev, V.D., Ed., vol. 1, 2006, pp. 94–123.
Psikhologicheskii slovar' (Psychological Dictionary), Moscow: Pedagogika-Press, 1996.
Shepard, R.N., Metric structures in ordinal data, J. Math. Psychol., 1966, vol. 3, no. 2.
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Original Russian Text © A.A. Kulinich, 2014, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2014, No. 4, pp. 31–41.
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Kulinich, A.A. Conceptual frameworks of ontologies for Ill-structured problem domains. Sci. Tech.Inf. Proc. 42, 411–419 (2015). https://doi.org/10.3103/S0147688215060027
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DOI: https://doi.org/10.3103/S0147688215060027