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The paper considers the problems of information collection and extraction for thematic intelligent scientific internet resources providing the systematization and integration of scientific knowledge, information resources and methods of intelligent information processing related to certain area of knowledge, as well as the content-based access to them. The approach to automatization of collection of information about scientific activity in the given knowledge area combining metasearch and knowledge extraction methods based on ontology and thesaurus is proposed. In accordance of this approach for every type of entities (ontology class) the specific methods of information collection and extraction adjustable to knowledge area and types of information resources is developed.

Each of these methods includes a set of patterns. In these patterns, for every kind of extracted information, markers defining its position are given as well as the engines implementing the algorithm of the analysis of the corresponding fragments of Web pages and extraction of the required information from them. These patterns are generated on the basis of the ontology. To improve the recall of information extraction, the patterns use alternative terms in different languages from thesaurus (synonyms and hyponyms) to describe the markers.

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