TY - JOUR TT - IDENTIFYING MORPHOLOGICAL PROPERTIES OF RUSSIAN WORDS WITH THE ONTOLOGY-BASED TEXT ANALYSER AU - Balysheva, Ksenia AU - Kartashova, Elena AU - Kondratiev, Konstantin AU - Mikheev, Aleksey PY - 2017 DA - August DO - 10.18769/ijasos.336974 JF - IJASOS- International E-journal of Advances in Social Sciences JO - IJASOS PB - OCERINT International Organization Center of Academic Research WT - DergiPark SN - 2411-183X SP - 443 EP - 449 VL - 3 IS - 8 KW - Automatic identifying KW - Morphological properties KW - Ontology KW - Ontology-based application KW - Text analyser KW - LexInfo KW - OntoLex N2 - This article presents the firststage of an ongoing effort of creating the application Ontology-Based TextAnalyser (OTA) aimed at automatically identifying semantics and grammaticalproperties of widely used Russian words in connected texts. At present thisapplication identifies only morphological properties of Russian words. In thisapplication all morphological properties of content words and grammaticalfunction words are revealed on the basis of a query to the Ontology of RussianGrammatical Forms (OntoRuGrammaForm) that we set up earlier. InOntoRuGrammaForm we used LexInfo which represents morphologicalproperties of words in the ontological format as a scheme for data organising.To set up OntoRuGrammaForm the existing LexInfo ontology was extended withmissing and refined grammatical categories. In OntoRuGrammaForm the linkage ofsemantics with morphological properties is implemented with OntoLex which makes it possible to linkgrammatical word forms with lemmas and lemmas with concepts in knowledge areaontologies. The automatic process of word morphology identification isillustrated with a connected text of the informative type taken from the opennews online-portal. In this news text the system of morphological properties ofwords is identified with OntoRuGrammaForm. This application also displayslemmas and transcription of separate words in a connected text. The createdapplication (OTA) can be used as an innovative methodical tool in teachingRussian to foreign students to develop skills of identifying morphological characteristicsof words in texts. At present this application is available on the Web in openaccess and can be used for analysing morphological properties of widely usedRussian words in a connected text. CR - Chiarcos, C. (2008). An ontology of linguistic annotations. LDV Forum, pp. 1–136. Chiarcos, Ch., McCrae, J., Cimiano, Ph., Fellbaum, Ch. (2013). Towards open data for linguistics: linguistic linked data, new trends of research in ontologies and lexical resources. Springer. Cimiano, P., McCrae, J., Buitelaar, P., Stintek, M. (2011). Lexinfo: A declarative model for the lexicon-ontology interface. Web Semantics: Science, Services and Agents on the World Wide Web, pp. 29–51. Cimiano, Ph., Unger, Ch., McCrae, J. (2014). Ontology-based interpretation of natural language. Gruber, T. (1993). Toward principles for the design of ontologies used for knowledge sharing. Formal Analysis in Conceptual Analysis and Knowledge Representation. Kluwer. Guarino, N. (1998). Some ontological principles for designing upper level lexical resources. Proceedings of First International Conference on Language Resources and Evaluation (LREC), pp. 527–534. Guarino, N., Welty, Ch. (2004). An overview of OntoClean, handbook on ontologies. Springer., pp. 151–159, Springer. Kruglikova, L.E. (2012). The Great academic dictionary of the Russian language as a successor of Russian academic lexicography traditions. Notebooks of Spanish Studies of Russian Philology, vol. 8, pp. 177 – 198. Loukachevitch, N.V. (2010). Thesauri in tasks of information retrieval. Moscow. McCrae, J., Spohr, D., and Cimiano, P. (2011). Linking lexical resources and ontologies on the semantic web with lemon. The Semantic Web: Research and Applications, pp. 245–259 Miller, G. (1998). Nouns in WordNet, Fellbaum, C (ed) WordNet, An Electronic Lexical Database, The MIT Press, pp.23-47. Navigli, R., Ponzetto, S. (2010) BabelNet: building a very large multilingual semantic network. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 216 –225. Ozhegov, S.I. (1983). Dictionary of the Russian language (in Russian). Moscow. Studer, R., Benjamins, V., and Fensel, D. (1998). Knowledge engineering: Principles and methods. Data Knowledge Engineering, pp. 161–197. UR - https://doi.org/10.18769/ijasos.336974 L1 - https://dergipark.org.tr/en/download/article-file/339247 ER -