Methods and Tools of Knowledge Management at the Semantic Web Enviroment

Annotation: the main problems of ontological knowledge management for Web are analyzed, e.g. the problem of integration of knowledge from different sources, knowledge acquisition and knowledge retrieval for specific task. Methods of automated generation of metadata described the semantics of informational resources and for personalized search on base of thesauri and ontologies of user subject domain are proposed. These methods are realized in design of informational retrieval system MAIPS where the retrieval procedure is personified on multiagent paradigm and ontological analysis. MAIPS uses technologies and standards of Semantic Web and Web 2.0 (e.g. OWL – for interoperable ontology and thesauri representation, RDF – for metadata representation of informational resources, tag clouds – for visualization of search thesauri, social services – for user interaction), some set-theoretic operations on thesauri and creation of thesauri by natural language texts are realized. Text readability criteria are used for retrieval of information pertinent to personal informational needs of user.