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International Conference on Electronic Commerce and Web Technologies

EC-Web 2016: E-Commerce and Web Technologies pp 170–182Cite as

Recommendation in Interactive Web Services Composition: A State-of-the-Art Survey

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 278))

Abstract

With the increasing adoption of Web services, designing novel approaches for recommending relevant Web services has become of paramount importance especially to support many practical applications such as Web services composition. In this paper, a survey aiming at encompassing the state-of-the-art of interactive Web services composition recommendation approaches is presented. Both Web services composition and recommender systems concepts are introduced and their particular challenges are also discussed. Moreover, the need of using recommendation techniques to support Web services composition is also highlighted. The most relevant approaches dedicated to address this need are presented, categorized and compared.

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Notes

  1. 1.

    http://webservices.seekda.com/.

  2. 2.

    http://www.webservicelist.com.

  3. 3.

    http://www.xmethods.net/.

  4. 4.

    https://www.w3.org/.

  5. 5.

    http://pipes.yahoo.com/.

  6. 6.

    https://www.ibm.com/support/knowledgecenter/SSWP9P/welcome/.

References

  1. Tang, J.: A service composabilty model to support dynamic cooperation of cross-enterprise services. In: Shen, W. (ed.) Information Technology For Balanced Manufacturing Systems. IFIP International Federation for Information Processing, vol. 220, pp. 213–222. Springer, Boston (2006)

    Chapter  Google Scholar 

  2. Zou, G., Lu, Q., Chen, Y., Huang, R., Xu, Y., Xiang, Y.: QoS-aware dynamic composition of web services using numerical temporal planning. IEEE Trans. Serv. Comput. 7(1), 18–31 (2014)

    Article  Google Scholar 

  3. Claro, D.B., Albers, P., Hao, J.-K.: Web services composition. In: Cardoso, J., Sheth, A.P. (eds.) Semantic Web Services, Processes and Applications, pp. 195–225. Springer, New York (2006)

    Chapter  Google Scholar 

  4. Sheng, Q.Z., Qiao, X., Vasilakos, A.V., Szabo, C., Bourne, S., Xu, X.: Web services composition: a decade’s overview. J. Inf. Sci. 280, 218–238 (2014)

    Article  Google Scholar 

  5. Maaradji, A., Hacid, H., Daigremont, J., Crespi, N.: Towards a social network based approach for services composition. In: Proceedings of the IEEE International Conference on Communications, Cape Town, pp. 1–5 (2010)

    Google Scholar 

  6. Yao, L., Sheng, Q.Z., Ngu, A.H.H., Yu, J., Segev, A.: Unified collaborative and content-based web service recommendation. IEEE Trans. Serv. Comput. 8(3), 453–466 (2015)

    Article  Google Scholar 

  7. Ma, J., Sheng, Q.Z., Liao, K., Zhang, Y., Ngu, A.H.H.: WS-finder: a framework for similarity search of web services. In: Liu, C., Ludwig, H., Toumani, F., Yu, Q. (eds.) ICSOC 2012. LNCS, vol. 7636, pp. 313–327. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34321-6_21

    Chapter  Google Scholar 

  8. Xu, Z., Martin, P., Powley, W., Zulkernine, F.: Reputation-enhanced QoS-based web services discovery. In: Proceedings of the 2007 IEEE International Conference on Web Services (ICWS), Salt Lake City, UT, pp. 249–256 (2007)

    Google Scholar 

  9. Zheng, Z., Ma, H., Lyu, M.R., King, I.: WSRec: a collaborative filtering based web service recommender system. In: IEEE International Conference on Web Services, pp. 437–444 (2009)

    Google Scholar 

  10. Zheng, Z., Ma, H., Lyu, M.R., King, I.: QoS-aware web service recommendation by collaborative filtering. IEEE Trans. Serv. Comput. 4(2), 140–152 (2011)

    Article  Google Scholar 

  11. Zhao, C., Ma, C., Zhang, J., Zhang, J., Yi, L., Mao, X.: HyperService: linking and exploring services on the web. In: Proceedings of the 2010 International Conference on Web Services, Miami, FL, pp. 17–24 (2010)

    Google Scholar 

  12. Xu, W., Cao, J., Hu, L., Wang, J., Li, M.: A social-aware service recommendation approach for mashup creation. In: Proceedings of the 20th IEEE International Conference on Web Services, Santa Clara, CA, pp. 107–114 (2013)

    Google Scholar 

  13. Picozzi, M., Rodolfi, M., Cappiello, C., Matera, M.: Quality-based recommendations for mashup composition. In: Daniel, F., Facca, F.M. (eds.) ICWE 2010. LNCS, vol. 6385, pp. 360–371. Springer, Heidelberg (2010). doi:10.1007/978-3-642-16985-4_32

    Chapter  Google Scholar 

  14. Cappiello, C., Matera, M., Picozzi, M., Daniel, F., Fernandez, A.: Quality-aware mashup composition: issues, techniques and tools. In: Proceedings of the Eighth International Conference on the Quality of Information and Communications Technolog, Lisbon, pp. 10–19 (2012)

    Google Scholar 

  15. Xia, B., Fan, Y., Tan, W., Huang, K., Zhang, J., Wu, C.: Category-aware API clustering and distributed recommendation for automatic mashup creation. IEEE Trans. Serv. Comput. 8(5), 674–687 (2015)

    Article  Google Scholar 

  16. Zhong, Y., Fan, Y., Huang, K., Tan, W., Zhang, J.: Time-aware service recommendation for mashup creation. IEEE Trans. Serv. Comput. 8(3), 356–368 (2015)

    Article  Google Scholar 

  17. He, J., Chu, W.W.: A social network-based recommender system (SNRS). In: Memon, N., Xu, J.J., Hicks, D.L., Chen, H. (eds.) Data Mining for Social Network Data. Annals of Information Systems, vol. 12, pp. 44–74. Springer, New York (2010)

    Chapter  Google Scholar 

  18. Wijesiriwardana, C., Ghezzi, G., Gall, H.: A guided mashup framework for rapid software analysis service composition. In: The 19th Asia-Pacific IEEE Conference on Software Engineering Conference, pp. 725–728 (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Riadi Lab, ENSI, University of Manouba, Manouba, Tunisia

    Meriem Kasmi, Yassine Jamoussi & Henda Hajjami Ben Ghézala

  2. Department of Computer Science, College of Science, Sultan Qaboos University, PO Box 36, Al-Khoudh 123, Muscat, Oman

    Yassine Jamoussi

Authors
  1. Meriem Kasmi
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  2. Yassine Jamoussi
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  3. Henda Hajjami Ben Ghézala
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Corresponding author

Correspondence to Meriem Kasmi .

Editor information

Editors and Affiliations

  1. The Insight Centre for Data Analytics, University College Cork , Cork, Ireland

    Derek Bridge

  2. Data and Web Science Group, University of Mannheim, Mannheim, Germany

    Heiner Stuckenschmidt

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Kasmi, M., Jamoussi, Y., Hajjami Ben Ghézala, H. (2017). Recommendation in Interactive Web Services Composition: A State-of-the-Art Survey. In: Bridge, D., Stuckenschmidt, H. (eds) E-Commerce and Web Technologies. EC-Web 2016. Lecture Notes in Business Information Processing, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-319-53676-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-53676-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53675-0

  • Online ISBN: 978-3-319-53676-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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