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|Abstract=In order to reduce the complexity of large knowledge-based systems and promote reusability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and knowledge within modules is expressed in terms of an object-centred data model. In addition, ideas from entity relationship model clustering are adapted and extended to facilitate the understandability of domain knowledge and support the formation of modules. | |Abstract=In order to reduce the complexity of large knowledge-based systems and promote reusability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and knowledge within modules is expressed in terms of an object-centred data model. In addition, ideas from entity relationship model clustering are adapted and extended to facilitate the understandability of domain knowledge and support the formation of modules. | ||
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Version vom 15. August 2009, 19:08 Uhr
Mechanisms for Structuring Knowledge-Based Systems
Mechanisms for Structuring Knowledge-Based Systems
Published: 1994
Herausgeber: D. Karagiannis
Buchtitel: Database and Expert Systems Applications
Ausgabe: 856
Reihe: Lecture Notes in Computer Science
Seiten: 488-497
Verlag: Springer-Verlag, Berlin
Referierte Veröffentlichung
BibTeX
Kurzfassung
In order to reduce the complexity of large knowledge-based systems and promote reusability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and knowledge within modules is expressed in terms of an object-centred data model. In addition, ideas from entity relationship model clustering are adapted and extended to facilitate the understandability of domain knowledge and support the formation of modules.
Download: Media:1994_642_Landes_Mechanisms_for__1.ps.gz