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 reasoninghference system 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-crawlinginference (A-C-I) to knowledge management is flexible and effective in supporting knowledge sharing on the web. An ongoing prototype is briefly described.
[1]
Olivier Corby,et al.
Methods and tools for corporate knowledge management
,
1999,
Int. J. Hum. Comput. Stud..
[2]
Vipul Kashyap,et al.
The Emergent semantic web: a consensus approach for deriving semantic knowledge on the web
,
2001
.
[3]
Brian D. Newman,et al.
A Framework for Characterizing Knowledge Management Methods, Practices, and Technologies
,
2000,
PAKM.
[4]
James A. Hendler,et al.
The Semantic Web" in Scientific American
,
2001
.
[5]
E O'LearyDaniel.
Using AI in Knowledge Management
,
1998
.
[6]
Steffen Staab,et al.
Methodology for development and employment of ontology based knowledge management applications
,
2002,
SGMD.