Staab, Studer, Schnurr, and
Sure (2001) describe an approach for ontology-based KM through the concept of
knowledge metadata, which contains two distinct forms of ontologies that describe
the structure of the data itself and issues related to the content of data. Jasper and
Uschold (1999) identify that ontologies can be used for: (1) knowledge reuse; (2)
knowledge specification; (3) common access of heterogeneous information; and
(4) search mechanisms. We refer the reader to Kishore et al. (2004) for a more
comprehensive discussion of ontologies and information systems.
Ontology documents can be created using Foundation of Intelligent Physical Agents
(FIPA)-compliant content languages like business process execution language
(BPEL), resource description framework (RDF), Web ontology language (OWL),
and DARPA agent markup language (DAML) to generate standardized representations
of the process knowledge.
The structure of ontology documents will be based on DLs. DLs are logical formalisms
for knowledge representation (Gomez-Perez, Fernandez-Lopez, & Corcho, 2004;
Li & Horrocks, 2004).
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