A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Capturing Lessons Learned for Variation Reduction in an Automotive Assembly Plant
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Application of Data Mining in Fault Diagnosis Based on Ontology
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
A knowledge acquisition and management system for fault diagnosis and maintenance of equipments
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
The general motors variation-reduction adviser: deployment issues for an AI application
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
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In the body shop of an automobile assembly plant, having access to correct and timely diagnostic information is very important for solving equipment and tooling maintenance problems. Variation Reduction Adviser (VRA) is an internal General Motors (GM) system that contains information related to the problems encountered in process, their root cause and possible solutions. This paper presents our work on ontology based diagnosis, where, a thesaurus (which is a simple form of ontology) has been used for retrieving diagnostic information. A thesaurus has been developed from existing problem descriptions and their solutions written in a natural language (such as English). A systematic methodology has been developed for the creation of a thesaurus. The results of ontology based diagnostic information retrieval have been compared with 'exact match' information retrieval.