Authors Yu.A. Kravchenko
Month, Year 07, 2016 @en
Index UDC
DOI DOI 10.18522/2311-3103-2016-7-518
Abstract The article is devoted to setting objectives and developing ways to solve problems of knowledge semantic search, classification, structuring and integration in relation to knowledge management issue. Information management is viewed as a set of processes systematic acquisition, synthesis and sharing of knowledge. The aim is to modify methods of solving problems of semantic search and structuring in relation to knowledge management issue. Scientific novelty is represented by the modified method of semantic knowledge discovery, graph model of structuring knowledge based on an assessment of material characteristics and abstract representation of a semantic network model with multi-level decomposition of different subject areas’ interdisciplinary connections. Knowledge management automation problem as continuous knowledge verification process to identify patterns in order to create and meet demand for new knowledge, directly related to the solution of information’s semantic search, classification, structuring and integration problems. The possibilities of modern information systems are limited to an effective solution of information’s storage and transmission problems. One of the major scientific challenges in the field of information technology today is the development of information analysis and processing mechanisms in heterogeneous sources with the aim of empowering information systems logical analysis of information capabilities and generate conclusions that will form the basis of knowledge accumulation and processing execution procedures. Since, according to scientists, the decision of information overflow actual problem will shift from data storage and processing to the knowledge accumulation and processing. Despite the pronounced specificity of subject areas, ontology should be built as a chain of interrelated processes that will provide integrated nature of intellectual knowledge management system. At the stage of identifying the areas of expertise necessary to first define a set of study characteristics. Next, you need to choose a priori information sources and begin to form a knowledge base and data warehouse, which later will set the relationship between the categories of knowledge. As a source of knowledge operational information systems’ database is most easily connected through a mechanism for creating data warehouses. Integrating knowledge from different sources may be based on the ontology requirements for the development of which will be a pre-formed sheets.

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Keywords Semantic search; ontology; classification; structuring; integration; knowledge management systems; information processes; decision support
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