Abstract
An approach to the definition of an ontology and a set of operations as an instrument of the formation and quantitatively estimated correlation of identifying images of objects of the subject area in a dialectical relationship of objective, conceptual, and symbolic spaces is proposed. Ontological representation of the image of the object in an computing environment corresponds to an object-oriented approach and includes not only property but also behavior. In practice, this approach will automate dynamic reformulation and correlating the retrieval images of query and documents based on their reduction to a common conceptual and terminological context.
Similar content being viewed by others
References
Gruber, Th., What Is an Ontology. http://www-ksl.stanford.edu/kst/what-is-an-ontology.html
Van Heijst, G. and Wielinga, B.J., Using Explicit Ontologies in KBS Development. http://ksi.cpsc.ucal-gary.ca/KAW/KAW96/borst/nodel6.html
Guarino, N., Understanding, Building, and Using Ontologies. http://ksi.cpsc.ucal-gary.ca/KAW/KAW96/guarino/guarino.html
Genesereth, M.R. and Nilsson, N.J., Logical Foundation of Artificial Intelligence Los Altos, California: Kaufmann, 1987.
De Roure, D., Jennings, N.R., and Shadbolt, N.R., The Semantic Grid: A Future e-Science Infrastructure. http://www.semanticgrid.org/documents/semgrid-jour-nal/semgrid-journal.pdf
Veniaminov, E.M. and Boldina, D.M., Ontology-Knowledge Presentation System — Principles and Perspectives, Nauchn.-Techn. Inform., Ser. 2., 1999, no. 10, pp. 26–32.
Mudraya, O.V., Babich, B.V., P’yao, S.S., et al., Development of Tools for Semantic Text Marking, Trudy mezhdunarodnoi konferentsii “Korpusnaya lingvistika-2006” (Proc. Int. Conf. ‘Corps Linguistics-2006’), St. Petersburg, 2006.
Uschold, M., King, M., Moralee, S., and Zorgios, Y., The Enterprise Ontology, Knowledge Eng. Rev., 1998, vol. 13, no. 1, pp. 31–88.
Urmantsev, Yu.A., General Theory of Systems: State. Applications and Development Perspectives, in Sb. sistema, simmetriya, garmoniya (Coll. Papers ’system, Symmetry, Harmony’), Moscow: Mysl, 1988, pp. 38–124.
Maksimov, N.V., Information and Knowledges: Nature, Conceptual Model, Nauchn.-Techn. Inform., Ser. 2., 2010, no. 7, pp. 1–10.
Bonits, M., Nauchnoe issledovanie i nauchnaya informatsiya (Scientific Study and Scientific Information), Moscow: Nauka, 1987.
Maksimov, N.V., Okropishin, A.E., Okropishina, O.V., and Perederyaev, I.I., Using of Technology of Automated Formation of Conceptual Structure of Object Area of Scientific Study in Scientific Personnel Management Problems, Vestnik RGGU. Ser. “Upravlenie,” 2011, no. 4(66), pp. 175–185.
Nirenburg, S. and Raskin, V., Ontological Semantics Cambridge, 2004.
FIPA 98 Specification. Part 12. Ontology Service Geneva: Foundation for Intelligent Physical Agents (FIPA), 1998, Vers. 1.0.
Noy, N.F. and Musen, M.A., SMART: Automated Support for Ontology Merging and Alignment, Proc. 12th Workshop on Knowledge Acquisition, Modeling and Management (KAW-99), Banff, Canada, 1999.
Levashova, T.V., Ontology Management Principles Used in Knowledge Integration Medium, Trudy St. Petersburg Inst. Inform. Avtomat., 2002, vol. 2,no. 1.
Staab, S., Studer, R., Mitra, P., and Wiederhold, G., Handbook on Ontologies, Berlin: Springer Verlag, 2009.
Kaushik, S., Farkas, C., Wijesekera, D., and Ammann, P., An Algebra for Composing Ontologies Technical Report, George Mason University, 2006.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © O.L. Golitsyna, N.V. Maksimov, O.V. Okropishina, V.I. Strogonov, 2012, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2, 2012, No. 5, pp. 1–9.
About this article
Cite this article
Golitsyna, O.L., Maksimov, N.V., Okropishina, O.V. et al. The ontological approach to the identification of information in tasks of document retrieval. Autom. Doc. Math. Linguist. 46, 125–132 (2012). https://doi.org/10.3103/S0005105512030028
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0005105512030028