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Semantic Service Matchmaking in the ATM Domain Considering Infrastructure Capability Constraints

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Canadian Semantic Web

Abstract

In a service-oriented environment business processes flexibly build on software services provided by systems in a network. A key design challenge is the semantic matchmaking of business processes and software services in two steps: 1. Find for one business process the software services that meet or exceed the BP requirements; 2. Find for all business processes the software services that can be implemented within the capability constraints of the underlying network, which poses a major problem since even for small scenarios the solution space is typically very large. In this chapter we analyze requirements from mission-critical business processes in the Air Traffic Management (ATM) domain and introduce an approach for semi-automatic semantic matchmaking for software services, the “System-Wide Information Sharing” (SWIS) business process integration framework. A tool-supported semantic matchmaking process like SWIS can provide system designers and integrators with a set of promising software service candidates and therefore strongly reduces the human matching effort by focusing on a much smaller space of matchmaking candidates. We evaluate the feasibility of the SWIS approach in an industry use case from the ATM domain.

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Authors and Affiliations

  1. Christian Doppler Laboratory, Software Engineering Integration for Flexible Automation Systems, Vienna University of Technology, Vienna, Austria

    Thomas Moser

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  1. Thomas Moser
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  2. Richard Mordinyi
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  3. Wikan Danar Sunindyo
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  4. Stefan Biffl
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Correspondence to Thomas Moser .

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Editors and Affiliations

  1. , Faculty of Computer Science, University of New Brunswick, Fredericton, E3B 5A3, Canada

    Weichang Du

  2. , Faculty of Computer Science, University of New Brunswick, Fredericton, E3B 5A3, Canada

    Faezeh Ensan

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Moser, T., Mordinyi, R., Sunindyo, W.D., Biffl, S. (2010). Semantic Service Matchmaking in the ATM Domain Considering Infrastructure Capability Constraints. In: Du, W., Ensan, F. (eds) Canadian Semantic Web. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7335-1_6

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  • DOI: https://doi.org/10.1007/978-1-4419-7335-1_6

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  • Online ISBN: 978-1-4419-7335-1

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