Artificial Intelligence
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
The Ontolingua Server: a tool for collaborative ontology construction
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The Knowledge Engineering Review
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Journal of Biomedical Informatics
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A methodology for engineering ontology acquisition and validation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Usage of mobile phones for personalized healthcare solutions
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
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This paper reports on the results of an analysis of existing ontological systems to determine which is most appropriate for the manufacturing domain. In particular, this involved the exploration of efforts that are studying both the uses of ontologies in the general sense and those that are using ontologies for domain-specific purposes. Eleven ontological systems were analyzed and, using a set of analysis criteria, it was determined that the Cyc (Cyc is a registered trademark of Cycorp Inc.) system was most appropriate for modeling concepts in the manufacturing domain. After the analysis is described, examples are given to show how manufacturing concepts could be modeled in the Cyc system. This work is part of a larger project whose objective is to move closer to the ultimate goal of seamless manufacturing systems integration using the principle behind ontological engineering to unambiguously define domain-specific concepts. The output of this work will be a taxonomy of manufacturing terms and concepts along with formal definitions of exactly what each of those terms and concepts mean and how they interrelate.