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DKE
1998

Using Natural Language Sources in Model-Based Knowledge Acquisition

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Using Natural Language Sources in Model-Based Knowledge Acquisition
This paper introduces a well defined co-operation between domain expert, knowledge engineer, and knowledge acquisition and transformation tools. First, the domain expert supported by a hypertext tool generates an intermediate representation from parts of authentic texts of a domain. As a side effect, this representation serves as human readable documentation. In subsequent steps, this representation is semi-automaticallytransformed into a formal representation by knowledge acquisition tools. These tools are fully adapted to the expert's domain both in terminology and model structure which are developed by the knowledge engineer from a library of generic models and with preparation tools. © 1998 Elsevier Science B.V.
Gabriele Schmidt, Thomas Wetter
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 1998
Where DKE
Authors Gabriele Schmidt, Thomas Wetter
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