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Ontology-based Web knowledge management

The knowledge management is becoming more and more important in organizations, either over the intranet or Internet. In this paper we present an ontology-based Web knowledge management (KM) framework based on Web ontology language DAML+OIL. This framework supports content-oriented rather than traditionally document-oriented approach to knowledge management. Three fundamental building blocks, i.e., annotations based on ontologies, knowledge-bases based on assertions in ontologies and Web resources crawling, and rule-based reasoning/inference systems for semantic knowledge manipulation. Our approach to knowledge management is the result of our semantic Web research efforts. We adopt the Web-standard based tools in our development of knowledge management. We believe that this approach of annotation-crawling-inference (A-C-I) to knowledge management is flexible and effective in supporting knowledge sharing on the Web. An ongoing prototype is briefly described.