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Beyond Rigid KA Metatools: An Initial Proposal for a KR-Independent, Adaptive, Customizable, Ontology-based KA Metatool

This paper proposes a new knowledge-acquisition metatool, KRIACO, a Web-based, Knowledge Representation Independent, Adaptive, Customizable, Ontology-based Knowledge Acquisition Metatool, which aims to overcome sorts of shortcomings of current knowledge acquisition metatools. To achieve its goal, KRIACO will adopt OKBC as an underlying knowledge representation model to overcome the restriction caused by a specific knowledge representation system. It will use an ontology-driven tool specification approach to specify the domain and the task models; an interface ontology and a declarative interface model to drive the interface design and customization process; adaptive approach to provide flexible, adaptive user interfaces. This paper discusses these approaches in detail and presents the framework of KRIACO.

ID: kmi-01-14

Date: 2001

Author(s): Yuangui lei, Enrico Motta and John Domingue

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