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International Conference on Information Technology for Balanced Automation Systems

BASYS 2006: Information Technology For Balanced Manufacturing Systems pp 109–118Cite as

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Industrial Application Integration Using Agent-Enabled Sematic SOA: Capnet Case Study

Industrial Application Integration Using Agent-Enabled Sematic SOA: Capnet Case Study

  • Leonid Sheremetov1 &
  • Miguel Contreras1 
  • Conference paper
  • 1197 Accesses

  • 5 Citations

  • 1 Altmetric

Part of the IFIP International Federation for Information Processing book series (IFIPAICT,volume 220)

Abstract

The paper addresses the issues of industrial application integration in business processes using agent enabled Service Oriented Architectures (SOA). in this paper, we show that agent-enabled SOA can play an important role for service integration. Our architecture combines Web services and intelligent agent technologies orchestrated by a business process management system. This architecture is grounded in a semantic service integration model and supported by the CAPNET agent platform tools. We describe the architecture and illustrate the approach by an industrial application scenario from petroleum wells’ drilling.

Keywords

  • Business Process
  • Multiagent System
  • Service Composition
  • Service Orient Architecture
  • Service Description

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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7. References

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Author information

Authors and Affiliations

  1. Mexican Petroleum Institute, Eje Central Lázaro Cárdenas, #152, 07730, México, D.F., Mexico

    Leonid Sheremetov & Miguel Contreras

Authors
  1. Leonid Sheremetov
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  2. Miguel Contreras
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© 2006 International Federation for Information Processing

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Sheremetov, L., Contreras, M. (2006). Industrial Application Integration Using Agent-Enabled Sematic SOA: Capnet Case Study. In: Information Technology For Balanced Manufacturing Systems. BASYS 2006. IFIP International Federation for Information Processing, vol 220. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36594-7_12

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  • DOI: https://doi.org/10.1007/978-0-387-36594-7_12

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  • Print ISBN: 978-0-387-36590-9

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