Context. Nowadays there is a constantly increasing interest to the application of the intelligent systems (IS) in different areas<br />such as information technologies (IT), engineering, medicine, biology, ecology, geography, jurisprudence etc. At the heart of<br />architecture of modern IS’s knowledge bases (KB) are used, which are formed due to the subject area (SA), where the given IS is<br />used. The main part of KB is ontology as clearly structured SA’s model, systematic set of terms, which explain the connections<br />between objects of this SA. Ontologies are generally accepted and widely used in different branches of science such as knowledge<br />engineering, presentation of knowledge, information search, knowledge management, database design, information modeling and<br />object-oriented analysis. In particular, Gather company in their researches of IT-market attributed the use of taxonomy/ontology in<br />his area. Consequently, research of syntactic ontological structures of KB, construction and research of optimal algorithm for syntactic<br />analysis of Ukrainian language texts and the development of software-algorithmic means of content, automatic referencing of<br />texts, gathering knowledge, translation etc. are relevant.<br />Objective. The goal of the work develop a software system for formalizing the rules of syntax of the Ukrainian language in the<br />form of an ontological basis of knowledge for the purpose of its use for working out natural language texts in the Ukrainian language.<br />Method. Methods of solving the problem of creating a consolidated resource based on ontological KB were chosen decision<br />trees, IDEF5 methodology and ontology construction methodology. The results of syntactic analysis work are taken into account by<br />associative-semantic context analysis to optimize the process of constructing associative context relationships between words and<br />sentence combinations within the hierarchical network of ontological BB.<br />Results. A consolidated information resource is created – an ontological KB of parsing analysis of Ukrainian-language text<br />documents with the help of Protégé 3.4.7.<br />Conclusions. The method of data extraction based on ontological BZ and FPGA language is developed for the further development<br />of a consolidated information resource for the syntactic elaboration of text documents. As a result, an ontological type of KB<br />with FPSM was created. The syntactic structure of the input sentence is the foundation and frame for the next, not less important step<br />– semantic analysis. This ontological KB of the consolidated LR of syntactic elaboration of Ukrainian-language text documents<br />serves as a powerful basis for further development of an automated IS for parsing Ukrainian-language texts
Науковий журнал «Радіоелектроніка, інформатика, управління»
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Lytvyn, V. V.; Lviv Polytechnic National University, Lviv, Ukraine. Vysotska, V. A.; Lviv Polytechnic National University, Lviv, Ukraine. Hrendus, M. H.; Lviv Polytechnic National University, Lviv, Ukraine. |
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Context. Nowadays there is a constantly increasing interest to the application of the intelligent systems (IS) in different areas<br />such as information technologies (IT), engineering, medicine, biology, ecology, geography, jurisprudence etc. At the heart of<br />architecture of modern IS’s knowledge bases (KB) are used, which are formed due to the subject area (SA), where the given IS is<br />used. The main part of KB is ontology as clearly structured SA’s model, systematic set of terms, which explain the connections<br />between objects of this SA. Ontologies are generally accepted and widely used in different branches of science such as knowledge<br />engineering, presentation of knowledge, information search, knowledge management, database design, information modeling and<br />object-oriented analysis. In particular, Gather company in their researches of IT-market attributed the use of taxonomy/ontology in<br />his area. Consequently, research of syntactic ontological structures of KB, construction and research of optimal algorithm for syntactic<br />analysis of Ukrainian language texts and the development of software-algorithmic means of content, automatic referencing of<br />texts, gathering knowledge, translation etc. are relevant.<br />Objective. The goal of the work develop a software system for formalizing the rules of syntax of the Ukrainian language in the<br />form of an ontological basis of knowledge for the purpose of its use for working out natural language texts in the Ukrainian language.<br />Method. Methods of solving the problem of creating a consolidated resource based on ontological KB were chosen decision<br />trees, IDEF5 methodology and ontology construction methodology. The results of syntactic analysis work are taken into account by<br />associative-semantic context analysis to optimize the process of constructing associative context relationships between words and<br />sentence combinations within the hierarchical network of ontological BB.<br />Results. A consolidated information resource is created – an ontological KB of parsing analysis of Ukrainian-language text<br />documents with the help of Protégé 3.4.7.<br />Conclusions. The method of data extraction based on ontological BZ and FPGA language is developed for the further development<br />of a consolidated information resource for the syntactic elaboration of text documents. As a result, an ontological type of KB<br />with FPSM was created. The syntactic structure of the input sentence is the foundation and frame for the next, not less important step<br />– semantic analysis. This ontological KB of the consolidated LR of syntactic elaboration of Ukrainian-language text documents<br />serves as a powerful basis for further development of an automated IS for parsing Ukrainian-language texts |
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Zaporizhzhya National Technical University 2018-12-07 16:07:43 |
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application/pdf http://ric.zntu.edu.ua/article/view/149991 |
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Radio Electronics, Computer Science, Control; No 3 (2018): Radio Electronics, Computer Science, Control |
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Copyright (c) 2018 V. V. Lytvyn, V. A. Vysotska, M. H. Hrendus |
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