ANALYSIS OF THE PROBLEM OF BUILDING ONTOLOGICAL DICTIONARY OF CONSTRUCTION

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The problem of the automated construction of ontology in construction based on the semantic analysis of texts in natural language is considered. The most important problem in the development of research in construction is its intellectualization, and the associated data integration and high-quality information retrieval. However, these technologies presuppose the presence of high-quality sources of semantic data. Overall, it can be argued that reuse and integration with data sources is low. This is because the data sources are not perfect enough to be used or integrated. In connection with this problem, the problem of the automated formation of ontology based on the analysis of texts in natural language in construction is quite relevant. A common criterion for the quality of an ontology is based on an assessment of the convenience and efficiency of work and the connection of cognitive processes with semantic ones with the aim of constructing and updating it in the field of construction. Assessment of constructed ontology based on automated tools is another separate complex task. The main difference between the study, the results of which are presented in this work, is a cognitive-semantic analysis based on category theory, mathematical logic and universal algebra, algebra of sets, cortege algebra and relational algebra, namely, the construction of an ontological dictionary of construction, ontological constructions in open languages representing knowledge in construction. The work includes classification and definition of information units and their sources. The features of the information resource in the construction industry have been determined.