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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 80))

Abstract

In the chapter an approach to solve the problem of service matchmaking and discovery is discussed. By a service we mean a independent component which has specified inputs and outputs and some functional and non-functional features. In our approach to describe services ontologies are used. It helps us to include some semantics to the services. Process of service discovery is started when user’s request is translated into SLA contract. The problem of matchmaking and discovery can be defined as a problem of finding service which fulfil user’s requirements as much as possible. In this work we present a system of service discovery and then our contribution to this domain – rough set-based approach to solve considered problem. Some simple example which illustrates proposed approach is shown.

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References

  1. Angele, J., Erdmann, M., Wenke, D.: Ontology-based knowledge management in automotive engineering scenarios. In: Hepp, M., Leenheer, P., Moor, A., Sure, Y. (eds.) Ontology Management. Semantic Web, Semantic Web Services, and Business Applications. Series: Semantic Web and Beyond, vol. 7 (2008)

    Google Scholar 

  2. Bianchini, D., De Aantonellis, V., Melchiori, M.: Flexible Semantic-Based Service Matchmaking and Discovery. World Wide Web 11, 227–251 (2008)

    Article  Google Scholar 

  3. Brzostowski, K., Drapała, J., Świątek, P., Tomczak, J.M.: Tools for automatic processing of users requirements in SOA architecture. In: Grzech, A. (ed.) Information systems architecture and technology: Service oriented distributed systems. Concepts and infrastructure, Oficyna PWr, Wrocław (2009)

    Google Scholar 

  4. Brzostowski, K., Tomczak, J.M.: Rough set-based approach for service discovery in service-oriented systems. In: Int. Conf. of Systems (2010) (to be published)

    Google Scholar 

  5. Fensel, D., et al.: Enabling Semantic Web Services. In: The Web Service Modeling Ontology. Springer, Berlin (2007)

    Google Scholar 

  6. Grzech, A., Rygielski, P., Świątek, P.: QoS-aware infrastructure resources allocation in systems based on service-oriented architecture paradigm. In: Proc. of Performance Modelling and Evaluation of Heterogeneous Networks, HET-NETs2010, Zakopane, Poland (2010)

    Google Scholar 

  7. Montaner, M., Lopez, B., de la Rosa, J.P.: A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review 19, 285–330 (2003)

    Article  Google Scholar 

  8. Pawlak, Z.: Information Systems. Theoretical foundation. WNT, Warszawa (1983) (in polish)

    Google Scholar 

  9. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1993)

    Google Scholar 

  10. Pawlak, Z.: Rough set theory and its applications. Journal of Telecommunications and Information Technology 3, 7–10 (2003)

    Google Scholar 

  11. Rutkowski, L.: Methods and Techniques in Artificial Intelligence. PWN, Warszawa (in polish)

    Google Scholar 

  12. Sobecki, J., Tomczak, J.M.: Student courses recommendation using Ant Colony Optimization. In: Nguyen, N.T. (ed.) ACIIDS 2010, Part I. LNCS (LNAI), vol. 5990. Springer, Heidelberg (2009)

    Google Scholar 

  13. Wang, H., Liu, S., Chia, L.T.: Does Ontology Help in Image Retrieval? — A Comparison between Keyword, Text Ontology and Multi-Modality Ontology Approaches. In: Proc. of MM 2006, Santa Barbara, California, USA (2006)

    Google Scholar 

  14. Yu, B., Li, M.: RSSM: A Rough sets based service matchmaking algorithm. In: Proc. of UK e-Science, AHM 2006, Nottingham, England (2006)

    Google Scholar 

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Brzostowski, K., Tomczak, J.M., Rekuć, W., Sobecki, J. (2010). Service Discovery Approach Based on Rough Sets for SOA Systems. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-14989-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14988-7

  • Online ISBN: 978-3-642-14989-4

  • eBook Packages: EngineeringEngineering (R0)

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