Nothing Special   »   [go: up one dir, main page]

Skip to main content

Backing Composite Web Services Using Formal Concept Analysis

  • Conference paper
Formal Concept Analysis (ICFCA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6628))

Included in the following conference series:

Abstract

A Web service is a software functionality accessible through the network. Web services are intended to be composed into coarser-grained applications. Achieving a required composite functionality requires the discovery of a collection of Web services out of the enormous service space. Each service must be examined to verify its provided functionality, making the selection task neither efficient nor practical. Moreover, when a service in a composition becomes unavailable, the whole composition may become functionally broken. Therefore, an equivalent service must be retrieved to replace the broken one, thus spending more time and effort. In this paper, we propose an approach for Web service classification based on FCA, using their operations estimated similarities. The generated lattices make the identification of candidate substitutes to a given service straightforward. Thus, service compositions can be achieved more easily and with backup services, so as to easily recover the functionality of a broken service.

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

Access this chapter

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
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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. Web Services Description Language (WSDL) 1.1, http://www.w3.org/TR/wsdl

  2. UDDI Version 3.0.2, http://www.uddi.org/pubs/uddi_v3.htm

  3. Newcomer, E., Lomow, G.: Understanding SOA with Web Services (Independent Technology Guides). Addison-Wesley Professional, Reading (2004)

    Google Scholar 

  4. Ganter, B., Wille, R.: Formal Concept Analysis. Mathematical foundations edn. Springer, Heidelberg (1999)

    Book  MATH  Google Scholar 

  5. Godin, R., Mineau, G.W., Missaoui, R.: Méthodes de classification conceptuelle basées sur les treillis de Galois et applications. Revue d’intelligence Artificielle 9, 105–137 (1995)

    Google Scholar 

  6. Carpineto, C., Romano, G.: A lattice conceptual clustering system and its application to browsing retrieval. Machine Learning 24, 95–122 (1996)

    Google Scholar 

  7. The Concept Explorer, http://conexp.sourceforge.net/

  8. Dong, X., Halevy, A., Madhavan, J., Nemes, E., Zhang, J.: Similarity search for web services. In: Proc. of VLDB 2004, VLDB Endowment, pp. 372–383 (2004)

    Google Scholar 

  9. Stroulia, E., Wang, Y.: Structural and semantic matching for assessing web-service similarity. Int. J. Cooperative Inf. Syst. 14, 407–438 (2005)

    Article  Google Scholar 

  10. Kokash, N.: A comparison of web service interface similarity measures. In: Proc. of STAIRS 2006, pp. 220–231. IOS Press, Amsterdam (2006)

    Google Scholar 

  11. Azmeh, Z., Huchard, M., Messai, N., Tibermacine, C., Urtado, C., Vauttier, S.: Many-Valued Concept Lattices for Backing Composite Web Services. Technical Report, LIRMM (2010)

    Google Scholar 

  12. Web Services Business Process Execution Language Version 2.0, http://docs.oasis-open.org/wsbpel/2.0/wsbpel-v2.0.html

  13. NetBeans IDE, http://www.netbeans.org/

  14. Seekda Web Services Search Engine, http://webservices.seekda.com

  15. Service-Finder Web Services Search Engine, http://demo.service-finder.eu

  16. Cohen, W.W., Ravikumar, P.D., Fienberg, S.E.: A comparison of string distance metrics for name-matching tasks. In: Kambhampati, S., Knoblock, C.A. (eds.) IIWeb, pp. 73–78 (2003)

    Google Scholar 

  17. Galicia, http://www.iro.umontreal.ca/~galicia/

  18. Tilley, T., Cole, R., Becker, P., Eklund, P.: A survey of formal concept analysis support for software engineering activities. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 250–271. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  19. Godin, R., Mili, H.: Building and maintaining analysis-level class hierarchies using galois lattices. In: OOPSLA, pp. 394–410 (1993)

    Google Scholar 

  20. Snelting, G., Tip, F.: Understanding class hierarchies using concept analysis. ACM Trans. Program. Lang. Syst. 22, 540–582 (2000)

    Article  Google Scholar 

  21. Huchard, M., Dicky, H., Leblanc, H.: Galois lattice as a framework to specify building class hierarchies algorithms. ITA 34, 521–548 (2000)

    MathSciNet  MATH  Google Scholar 

  22. Godin, R., Valtchev, P.: Formal concept analysis-based class hierarchy design in object-oriented software development. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 304–323. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  23. Aboud, N.A., Arévalo, G., Falleri, J.R., Huchard, M., Tibermacine, C., Urtado, C., Vauttier, S.: Automated architectural component classification using concept lattices. In: Proc. of WICSA/ECSA 2009. IEEE Computer Society Press, Cambridge (2009)

    Google Scholar 

  24. Arévalo, G., Desnos, N., Huchard, M., Urtado, C., Vauttier, S.: FCA-based service classification to dynamically build efficient software component directories. International Journal of General Systems 38, 427–453 (2009)

    Article  MATH  Google Scholar 

  25. Liskov, B.: Keynote address - data abstraction and hierarchy. SIGPLAN Not. 23, 17–34 (1987)

    Article  Google Scholar 

  26. Lindig, C.: Concept-based component retrieval. In: Köhler, J., Giunchiglia, F., Green, C., Walther, C. (eds.) Working Notes of the IJCAI 1995 Workshop: Formal Approaches to the Reuse of Plans, Proofs, and Programs, Montréal, Canada, pp. 21–25 (1995)

    Google Scholar 

  27. Fischer, B.: Specification-based browsing of software component libraries. In: Proc. of ASE 1998, Honolulu, USA, pp. 74–83 (1998)

    Google Scholar 

  28. Sigonneau, B., Ridoux, O.: Indexation multiple et automatisée de composants logiciels. Technique et Science Informatiques 25, 9–42 (2006)

    Article  Google Scholar 

  29. Brockmans, S., Erdmann, M., Schoch, W.: Service-finder deliverable d4.1. research report about current state of the art of matchmaking algorithms. Technical report (2008)

    Google Scholar 

  30. Lausen, H., Steinmetz, N.: Survey of current means to discover web services. Technical report, Semantic Technology Institute, STI (2008)

    Google Scholar 

  31. Aversano, L., Bruno, M., Canfora, G., Penta, M.D., Distante, D.: Using concept lattices to support service selection. Int. J. Web Service Res. 3, 32–51 (2006)

    Article  Google Scholar 

  32. Bruno, M., Canfora, G., Penta, M.D., Scognamiglio, R.: An approach to support web service classification and annotation. In: EEE, pp. 138–143. IEEE Computer Society, Los Alamitos (2005)

    Google Scholar 

  33. Peng, D., Huang, S., Wang, X., Zhou, A., et  al: Concept-based retrieval of alternate web services. In: Zhou, L.-z., Ooi, B.-C., Meng, X. (eds.) DASFAA 2005. LNCS, vol. 3453, pp. 359–371. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  34. Azmeh, Z., Huchard, M., Tibermacine, C., Urtado, C.: SylvainVauttier: Using concept lattices to support web service compositions with backup services. In: Proc. of ICIW 2010, pp. 363–368. IEEE Computer Society, Los Alamitos (2010)

    Google Scholar 

  35. Kaytoue, M., Assaghir, Z., Napoli, A., Kuznetsov, S.O.: Embedding tolerance relations in formal concept analysis: an application in information fusion. In: Huang, J., Koudas, N., Jones, G., Wu, X., Collins-Thompson, K., An, A. (eds.) CIKM, pp. 1689–1692. ACM, New York (2010)

    Google Scholar 

  36. Crasso, M., Zunino, A., Campo, M.: Awsc: An approach to web service classification based on machine learning techniques. Inteligencia Artificial, Revista Iberoamericana de Interligencia Artificial 12(37), 25–36 (2008)

    Google Scholar 

  37. Heß, A., Kushmerick, N.: Learning to attach semantic metadata to web services. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 258–273. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  38. Ma, J., Zhang, Y., He, J.: Efficiently finding web services using a clustering semantic approach. In: Proc. of CSSSIA 2008, pp. 1–8. ACM, New York (2008)

    Google Scholar 

  39. Lu, J., Yu, Y.: Web service search: Who, when, what, and how. In: WISE Workshops, pp. 284–295 (2007)

    Google Scholar 

  40. Günay, A., Yolum, P.: Structural and semantic similarity metrics for web service matchmaking. In: Psaila, G., Wagner, R. (eds.) EC-Web 2007. LNCS, vol. 4655, pp. 129–138. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  41. Bouillet, E., Feblowitz, M., Feng, H., Liu, Z., Ranganathan, A., Riabov, A.: A folksonomy-based model of web services for discovery and automatic composition. In: IEEE International Conference on Services Computing (SCC), pp. 389–396. IEEE Computer Society, Los Alamitos (2008)

    Google Scholar 

  42. Platzer, C., Dustdar, S.: A vector space search engine for web services. In: Third IEEE European Conference on Web Services, ECOWS 2005, pp. 62–71 (2005)

    Google Scholar 

  43. Wang, Y., Stroulia, E.: Semantic structure matching for assessing web service similarity. In: Orlowska, M.E., Weerawarana, S., Papazoglou, M.P., Yang, J. (eds.) ICSOC 2003. LNCS, vol. 2910, pp. 194–207. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  44. Crasso, M., Zunino, A., Campo, M.: Query by example for web services. In: Proc. of SAC 2008, pp. 2376–2380. ACM, New York (2008)

    Google Scholar 

  45. Messai, N., Devignes, M.D., Napoli, A., Smaïl-Tabbone, M.: Using domain knowledge to guide lattice-based complex data exploration. In: Proc. of ECAI 2010, pp. 847–852. IOS Press, Amsterdam (2010)

    Google Scholar 

  46. Huchard, M., Hacene, M.R., Roume, C., Valtchev, P.: Relational concept discovery in structured datasets. Ann. Math. Artif. Intell. 49, 39–76 (2007)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Azmeh, Z. et al. (2011). Backing Composite Web Services Using Formal Concept Analysis. In: Valtchev, P., Jäschke, R. (eds) Formal Concept Analysis. ICFCA 2011. Lecture Notes in Computer Science(), vol 6628. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20514-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20514-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20513-2

  • Online ISBN: 978-3-642-20514-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics