Semantic Analysis Models and Methods of the Text Information in the Building Normative Base
Denys Chernyshev1, Andrеy Klochko2, Svitlana Terenchuk3, Viktoriia Ternavska4, Vitalii Zapryvoda5
1Denys Chernyshev, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
2Andrеy Klochko, Department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
3Svitlana Terenchuk*, Department of Information Technology Design and Applied Mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
4Viktoriia Ternavska, Department of Labor Protection and Environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
5Vitalii Zapryvoda, Department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 30, 2020. | Manuscript published on April 10, 2020. | PP: 1873-1879 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4537049620/2020©BEIESP | DOI: 10.35940/ijitee.F4537.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The research is aimed at overcoming the uncertainties associated with the reform of legislation regarding the technical regulation of the building industry. The main goal of the paper is to systematize the normative base of building of Ukraine in the conditions of adaptation of normative documents to the requirements of the European Union. In order to achieve this goal, an analysis of the peculiarities of the information resource of the normative base was conducted and the nature of the uncertainty contained in the normative documentation of the industry was investigated. The status of modern electronic databases of normative documentation in the building and building materials industry of Ukraine is described. The scheme for identifying different documents on the same issue is proposed. The possibility of applying models and methods of fuzzy mathematics to formalization of texts of building norms and rules and expression of their semantics in the internal language of the Semantic Text Information Analysis System is shown. The practical value of the paper is seen in the improvement of the organizational and technical system “Technical Regulation in Building” by minimizing the number of regulations on the same issue and achieving consistency between normative. The paper’s scientific novelty of is to apply the model of artificial intelligence to the solution of the problem of semantic analysis of documents contained in electronic bases of normative documentation of the system of technical regulation in building. The capability of artificial neural networks of the Imeg Net category to solve the problem of semantic analysis text documents of Building Normative Base is proved Further researches will focus on forming the Text Information Semantic Analysis System knowledge base and adapting the Deep Structured Semantic Model to the task of assessing the degree of closeness between a Semantic Request and a Semantic Normative Document. The results can be used to improve other workflow systems.
Keywords: Building Norms, Collision, Semantic Analysis, Artificial Neural Network, Text Information.
Scope of the Article: Artificial Intelligence