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-For more relevant informational retrieval and matching of user request with metadata about biomedical informational recourses it is necessary to formulize the user knowledge about this subject domain. We propose to use the ontologies and associated with them thesauri of the appropriate subject domains for representation of biomedicine knowledge. The algorithms of formation and normalization of the multilinguistic thesauruses, and also methods of their comparison are given in this work.

In the paper some methods of ontology-based knowledge recognition in service-oriented virtual research environment are proposed. These methods are about export of knowledge, qualification level and study domain of students, and about automatic evaluation of their skills. The research is situated in different disciplines. Using domain ontology as an instrument for student skills evaluation is set forward. Web services and ontologies provide reuse of these methods in other applications. A prototype automatic tutor has been developed to support e-learning.

Abstract-Domain ontology is proposed as an instrument for controlling of e-learning course results. This approach instead of traditional testing more objectively reflects the structure of students' knowledge. Use of ontologies for knowledge representation provides interoperability of the used testing systems. The domain knowledge has been found and reuse in the semantic web world. Domain ontology developing is based on the principles of ontological analysis. The method of it's use for evaluation of the learners' knowledge results is based on matching of the learners' ontology with the reference ontology proposed by the trainer/tutor. A multi-agent system for e-learning (M(e)L ) has been defined and a prototype system has been developed. In a case, the domain ontology and the semantic web representation has been applied in two e-learning university courses.