Skip to main content
Springer Nature Link
Log in

A Preprocessing of Service Registry: Based on I/O Parameter Similarity

  • Conference paper
Distributed Computing and Internet Technology (ICDCIT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8956))

Abstract

For registry based web services, finding a service for a given input and output, can be improved by registry preprocessing, that groups services of similar input and output parameters, to a cluster. This paper proposes a Wordnet based similarity detection technique for service I/O parameter clustering and also demonstrates the uses of the technique with experimental result.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Al-Masri, E., Mahmoud, Qusay, H.: Discovering the best web service: A neural network-based solution. In: IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, pp. 4250–4255 (October 2009)

    Google Scholar 

  2. David, M., Massimo, P., et al.: Bringing semantics to web services: The OWL-S approach. In: Cardoso, J., Sheth, A.P. (eds.) SWSWPC 2004. LNCS, vol. 3387, pp. 26–42. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, vol. 96, pp. 226–231 (1996)

    Google Scholar 

  4. Lakshmi, H.N., Mohanty, H.: RDBMS for service repository and composition. In: Fourth International Conference on Advanced Computing (ICoAC), pp. 1–8 (December 2012)

    Google Scholar 

  5. Hand David, J., Padhraic, S., Heikki, M.: Principles of Data Mining. MIT Press, Cambridge (2001)

    Google Scholar 

  6. Kwon, J., Lee, D.: Non-redundant web services composition based on a two-phase algorithm. Data and Knowledge Engineering 71, 69 (2012)

    Article  Google Scholar 

  7. Lee, D., Kwon, J., Lee, S., Park, S., Hong, B.: Scalable and efficient web services composition based on a relational database. J. Syst. Softw. 84(12) (2011)

    Google Scholar 

  8. Lu, S.Y., Hsu, K.-H., Kuo, L.-J.: A semantic service match approach based on wordnet and SWRL rules. In: 2013 IEEE 10th International Conference on e-Business Engineering (ICEBE), pp. 419–422 (September 2013)

    Google Scholar 

  9. Ma, S.-P., Li, C.-H., Tsai, Y.-Y., Lan, C.-W.: Web service discovery using lexical and semantic query expansion. In: 2013 IEEE 10th International Conference on e-Business Engineering (ICEBE), pp. 423–428 (September 2013)

    Google Scholar 

  10. MacQueen, J., et al.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, California, USA, pp. 281–297 (1967)

    Google Scholar 

  11. Maher, M., Hamza, H.S., Mohamed, R.M.: Service composition recovery using formal concept analyst & wordnet similarity. In: 2011 IEEE International Conference on Information Reuse and Integration (IRI), pp. 123–128. IEEE (2011)

    Google Scholar 

  12. Paliwal, A.V., Shafiq, B., Vaidya, J., Xiong, H., Adam, N.: Semantics-based automated service discovery. IEEE Transactions on Services Computing 5(2), 260–275 (2012)

    Article  Google Scholar 

  13. Pedersen, T., Patwardhan, S., Michelizzi, J.: Wordnet:similarity: Measuring the relatedness of concepts. In: Demonstration Papers at HLT-NAACL 2004, HLT-NAACL–Demonstrations 2004, pp. 38–41. Association for Computational Linguistics (2004)

    Google Scholar 

  14. Rodriguez-Mier, P., Mucientes, M., Lama, M.: Automatic web service composition with a heuristic-based search algorithm. In: 2011 IEEE International Conference on Web Services (ICWS), pp. 81–88 (July 2011)

    Google Scholar 

  15. McIlraith, S.A., Martin, D.L.: Bringing semantics to web services. IEEE Intelligent Systems 18(1), 90–93 (2003)

    Article  Google Scholar 

  16. Xin, D., Alon, H., Jayant, M., Ema, N., Jun, Z.: Similarity search for web services. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, vol. 30. VLDB Endowment (2004)

    Google Scholar 

  17. Azmeh, Z., Falleri, J.-R., Huchard, M., Tibermacine, C.: Automatic web service tagging using machine learning and wordNet synsets. In: Filipe, J., Cordeiro, J. (eds.) WEBIST 2010. LNBIP, vol. 75, pp. 46–59. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  18. Zeng, C., Ou, W., Zheng, Y., Han, D.: Efficient web service composition and intelligent search based on relational database. In: 2010 International Conference on Information Science and Applications (ICISA), pp. 1–8 (April 2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Hyderabad, Hyderabad, India

    Lakshmi H.N. & Hrushikesha Mohanty

Authors
  1. Lakshmi H.N.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hrushikesha Mohanty
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Technology and Computer Science, Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, 400005, Mumbai, India

    Raja Natarajan

  2. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, 781039, Guwahati, India

    Gautam Barua

  3. Department of Computer Science,, Berhampur University, 760007, Berhampur, Odisha, India

    Manas Ranjan Patra

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

H.N., L., Mohanty, H. (2015). A Preprocessing of Service Registry: Based on I/O Parameter Similarity. In: Natarajan, R., Barua, G., Patra, M.R. (eds) Distributed Computing and Internet Technology. ICDCIT 2015. Lecture Notes in Computer Science, vol 8956. Springer, Cham. https://doi.org/10.1007/978-3-319-14977-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14977-6_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14976-9

  • Online ISBN: 978-3-319-14977-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics