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Analysis of Web Service Retrieval Methods

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New Research in Multimedia and Internet Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 314))

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Abstract

The purpose of this chapter is to investigate different Vector Space Model approaches for Web Service Retrieval in a manner that allows the retrieval of both SOAP and RESTful Web Services. The research also includes Latent Semantic Indexing and modified term-document matrix that allows to store scores for different service components separately. All indexing models are also investigated against different weighting schemes. Additionally, this chapter introduces three test collections that were used to test all approaches in terms of effectiveness and performance. The collections can also be used for many other benchmarks onWeb Service Retrieval.

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References

  1. Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., Orchard, D.: Web services architecture. W3C Working Group Note 11 February 2004, World Wide Web Consortium (2004), www.w3.org/TR/ws-arch (accessed April 2014)

  2. Czyszczoń, A., Zgrzywa, A.: The concept of parametric index for ranked web service retrieval. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds.) Multimedia and Internet Systems: Theory and Practice. AISC, vol. 183, pp. 229–238. Springer, Heidelberg (2013)

    Google Scholar 

  3. Erl, T., Bennett, S., Schneider, R., Gee, C., Laird, R., Carlyle, B., Manes, A.: Soa Governance: Governing Shared Services On-Premise and in the Cloud. The Prentice Hall Service-oriented Computing Series from Thomas Erl. Prentice Hall (2011)

    Google Scholar 

  4. Hao, Y., Cao, J., Zhang, Y.: Efficient ir-style search over web services. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 305–318. Springer, Heidelberg (2009)

    Google Scholar 

  5. Hao, Y., Zhang, Y., Cao, J.: Web services discovery and rank: An information retrieval approach. In: Future Generation Computer Systems, vol. 26, pp. 1053–1062 (2010)

    Google Scholar 

  6. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)

    Google Scholar 

  7. Paliwal, A.V., Adam, N.R., Bornhövd, C.: Web service discovery: Adding semantics through service request expansion and latent semantic indexing. In: IEEE SCC, pp. 106–113. IEEE Computer Society (2007)

    Google Scholar 

  8. Pautasso, C., Zimmermann, O., Leymann, F.: Restful web services vs. big web services: Making the right architectural decision. In: 17th International WWW Conference, Beijing (2008)

    Google Scholar 

  9. Peng, D.: Automatic conceptual indexing of web services and its application to service retrieval. In: Jin, H., Rana, O.F., Pan, Y., Prasanna, V.K. (eds.) ICA3PP 2007. LNCS, vol. 4494, pp. 290–301. Springer, Heidelberg (2007)

    Google Scholar 

  10. Platzer, C., Dustdar, S.: A vector space search engine for web services. In: Proceedings of the 3rd European IEEE Conference on Web Services (ECOWS 2005), pp. 14–16. IEEE Computer Society Press (2005)

    Google Scholar 

  11. Richardson, L., Ruby, S.: RESTful Web Services: Web Services for the Real World. O’Reilly Media, Inc., Sebastopol (2007)

    Google Scholar 

  12. Wu, C., Chang, E.: Searching services “on the web”: A public web services discovery approach. In: Eighth International Conference on Signal Image Technology and Internet Based Systems, pp. 321–328 (2007)

    Google Scholar 

  13. Wu, C., Chang, E., Aitken, A.: An empirical approach for semantic web services discovery. In: Australian Software Engineering Conference, pp. 412–421. IEEE Computer Society (2008)

    Google Scholar 

  14. Wu, C., Potdar, V., Chang, E.: Latent semantic analysis – the dynamics of semantics web services discovery. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. (eds.) Advances in Web Semantics I. LNCS, vol. 4891, pp. 346–373. Springer, Heidelberg (2009)

    Google Scholar 

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Correspondence to Adam Czyszczoń .

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Czyszczoń, A., Zgrzywa, A. (2015). Analysis of Web Service Retrieval Methods. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) New Research in Multimedia and Internet Systems. Advances in Intelligent Systems and Computing, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-319-10383-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-10383-9_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10382-2

  • Online ISBN: 978-3-319-10383-9

  • eBook Packages: EngineeringEngineering (R0)

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