
This paper provides an overview of important developments in the field of Knowledge Engineering. We discuss the paradigm shift from a transfer to a modeling approach and discuss two prominent methodological achievements: problem-solving methods and ontologies. To illustrate these and additional concepts we outline several modeling frameworks: CommonKADS, MIKE, PROTEGE-II, and D3. We also discuss two fields which have emerged in the last few years and are promising areas for applying and further developing concepts and methods from Knowledge Engineering: Intelligent Information Integration and Knowledge Management.
ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004
ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004
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