Information's semantic search, classification, structuring and integration objectives in the knowledge management context problems

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. 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. 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. 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.