Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21
Online ISSN : 2424-3086
ISSN-L : 2424-3086
2005.2
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ARTIFICIAL INTELLIGENCE FOR QUERY INFERENCE IN MANUFACTURING MANAGEMENT DATABASE(Manufacturing systems and Scheduling)
Hideo TAKECHITadashi ISHIKETA
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 409-414

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Abstract
Our recent studies for Framed Knowledge Base convinced us of an application for machinery assembly database and as seemingly, the function of 'Association implemented in Framed Knowledge Base is extraordinary among Artificial Intelligence abilities. Physical meaning prevailing between two members at an assembly interface could be identifiable by the 'Association. Therefore, once a certain type of assembly is specified for query, every component attached or connected are retrievable instantly upon request as well as their physical conditions at the interface. Other form of fabrication process, is also conceivable by means of this 'Association. Building scripts for the semantic knowledge is pretty straightforward relying on the actual arrangement of parts and elements, which is approximately proportional to that of physical dimensions. Contrasted with scripts for an accustomed relational database, our scripts for the Framed Knowledge Base is outstanding in intricacy and susceptibility for building query system for a machinery problem interrogation.
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© 2005 The Japan Society of Mechanical Engineers
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