all- Integrated fixture design and analysis system based on service-oriented architecture [manufacturing]
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Author(s): Fan Liqing; Kumar, A.S.; Jagdish, B.N.; Anbuselvan, S.; Bok Shung-Hwee |
Source: 2008 IEEE International Conference on Automation Science and Engineering (CASE 2008) Pages: 656-61 Published: 2008 |
Conference Information: 2008 IEEE International Conference on Automation Science and Engineering (CASE 2008) Arlington, VA, USA, 23-26 August 2008 |
Abstract: Distributed collaborative design and manufacture enables manufacturing organizations in maintaining competitiveness in the fiercely competitive global industry. A collaborative design system should be able to transfer information with the various other systems in order to realize a seamless product design and manufacturing environment. This paper addresses the development of an integrated fixture design and analysis system. Web services and service-oriented architecture (SOA) are employed in this system in order to facilitate the advantages of interoperability, platform -independence and language-neutrality. The use of XML as a file format provides a means for the transfer of information and knowledge between design and analysis. |
A model for semantic service matching with leftover and missing information
Author(s): Sanchez, C.; Sheremetov, L. | |||||||||||||||||||||||
Source: 2008 8th International Conference on Hybrid Intelligent Systems (HIS) Pages: 198-203 Published: 2008 | |||||||||||||||||||||||
Conference Information: 2008 8th International Conference on Hybrid Intelligent Systems (HIS) Barcelona, Spain, 10-12 September 2008 | |||||||||||||||||||||||
Abstract: One of the challenges of SOA is to deal with service matching which is uncertain and ambiguous. A service requester must be prepared to cope with situations where no required services are found or, on the other hand, multiple matching services are found. The paper proposes a formal model of service matching with incomplete information. The model is defined using set theory and description logics. Fuzzy logic is used to calculate the degrees of semantic matching of services and their ranking. This matching is defined by its type (exact, leftover and missing information) and service functional properties specified by OWL-S. The model is illustrated by example from a case study.
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- all- Integrated fixture design and analysis system based on service-oriented architecture [manufacturing]
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