Application of the ontological model for semantic search of the information objects

The article describes the modeling of an intelligent system aimed to support interaction of information resources and information consumers that use internal and external knowledge bases. Existing approaches to estimation of intelligent level of information systems and expedience of their applicability towards information retrieval systems are analyzed. On basis of this analysis, a comparison criterion of intelligent level of different applications is proposed. The criteria is based on such parameters as type and number of processed atomic elements and relations among them and processing algorithm complexity. Ontological model of interaction between Web resources and users of the semantic search system is developed. Sources and methods of development and improvement of this model are proposed. The model applications for increasing the intelligence level of the semantic search system are proposed. Software realization of personalized and collaborative semantic search system on basis of this ontological model is described. The ways of the models application for integration of search instrument with applied systems are described (on example of competence matching task that is used for employment assistance, qualification comparison, educational mobility etc.).