| 10.14489/vkit.2015.02.pp.028-035 |
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DOI: 10.14489/vkit.2015.02.pp.028-035 Коробкин Д. М., Фоменков С. А., Колесников С. Г. Аннотация. Представлен автоматический метод извлечения описаний физических эффектов из текстов на естественном русском языке. Разработана модель представления знаний о физических эффектах, основанная на онтологическом подходе. Спроектированы логическое и физическое представления онтологической модели. Разработана методика извлечения описаний физических эффектов на основе применения семантического анализа текста и формирования запросов к онтологической модели. Ключевые слова: онтология предметной области; извлечение фактов; анализ текста; физический эффект.
Korobkin D. M., Fomenkov S. A., Kolesnikov S. G. Abstract. Nowadays one of the most important tasks is automation of early stages of designing (requirements specification and technical proposal stages) of new technical systems and technologies on the base of which are made fundamental decisions about principles of operation and structure of design object. One of the most promising approaches to realize early stages of requirements specification is concerned with use of structured physical knowledge in the form of Physical Effects (PE) for automatic synthesis and choice of physical operating principle of developed technical system. Physical effect is an objective relation between two or more physical phenomenon, each of which is described by an appropriate physical quantity. As any physical phenomenon realize in material medium so a representation diagram of PE in the form of “black box” is visual and useful: A B C where A – input, B – object, C – output. Domain ontology was chosen as representation model of knowledge about PE. For development of the domain ontology the Protégé tool was chosen. The domain ontology based on knowledge from PE database which was developed by employees of CAD (Computer-Aided Design) department of Volgograd State Technical University and also based on model of the PE description. For semantic analysis was used the software for automated processing of Russian texts which was developed by AOT.ru group. Its output is a semantic network with a defined relationship. Developed domain ontology structure allows use of queries to the knowledge base for extraction of PE descriptions. For extraction of PE description it is necessary to reveal three components according to model: What object is influenced by PE? What influence contains in PE? Where the PE is localized? Query is generated from the results of the semantic analysis of sentence with the expected PE description. It is necessary to unite the semantic relations in groups and relate the query to the knowledge base of PE with each of groups. We introduced the rules that associate semantic relations and their respective present representation in the knowledge base. Thus, the presence of correspondences between semantic relations and queries to the knowledge base allows to clearly relate the fragment structure with the expected PE description. Keywords: Domain ontology; Fact extraction; Text mining; Physical effect.
РусД. М. Коробкин, С. А. Фоменков, С. Г. Колесников (Волгоградский государственный технический университет) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript EngD. M. Korobkin, S. A. Fomenkov, S. G. Kolesnikov (Volgograd State Technical University) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript
Рус1. Фоменков С. А., Давыдов Д. А., Камаев В. А. Моделирование и автоматизированное использование структурированных физических знаний. М.: Машино-строение-1, 2004. 278 с. Eng1. Fomenkov S. A., Davydov D. A., Kamaev V. A. (2004). Modeling and automated use of structured physical knowledge. Moscow: Mashinostroenie-1.
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