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

skip to main content
10.1007/978-3-642-25535-9_26guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

A semantic and information retrieval based approach to service contract selection

Published: 05 December 2011 Publication History

Abstract

Service contracts represent the agreement between the service provider and potential service consumers to use a specific service under given conditions; for each service multiple service contracts are available. In this paper we investigate a new approach to support the service contract selection by exploiting preferences both explicitly defined by a user and implicitly inferred from his/her context. The core of our approach is the use of multi-constraint queries expressed on punctual values and on textual descriptions. Both semantic-based and information retrieval (IR) techniques are applied. Experimental evaluations show the effectiveness of the proposed approach.

References

[1]
Papazoglou, M., Traverso, P., Dustdar, S., Leymann, F., Kramer, B.: Service Oriented Computing Research Roadmap. In: Dagstuhl Seminar Proceedings 05462 (SOC) (2006).
[2]
Toma, I., Roman, D., Fensel, D.: On describing and ranking services based on nonfunctional properties. In: Third International Conference on Next Generation Web Services Practices (NWESP 2007), pp. 61-66. IEEE Computer Society, Washington, DC, USA (2007).
[3]
Comerio, M., Truong, H.-L., De Paoli, F., Dustdar, S.: Evaluating Contract Compatibility for Service Composition in the seCO2 Framework. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC-ServiceWave 2009. LNCS, vol. 5900, pp. 221-236. Springer, Heidelberg (2009).
[4]
Wang, Y., Tang, B., Huan, Z.: Study on contract selection decision based on hybrid supply chains. In: Proc. of the Inter. Conf. on Measuring Technology and Mechatronics Automation. ICMTMA 2010, Washington, DC, USA, pp. 572-575 (2010).
[5]
Talluria, S., Leea, J.Y.: Optimal supply contract selection. International Journal of Production Research 48(24), 7303-7320 (2011).
[6]
Yu, H.Q., Reiff-Marganiec, S.: A method for automated web service selection. In: Proc. of the Congress on Services (SERVICES), pp. 513-520 (2008).
[7]
Lamparter, S., Ankolekar, A., Studer, R., Grimm, S.: Preference-based selection of highly configurable web services. In: Proc. of the 16th International Conference on World Wide Web (WWW 2007), pp. 1013-1022. ACM, New York (2007).
[8]
Wang, X., Vitvar, T., Kerrigan, M., Toma, I.: A QoS-Aware Selection Model for Semantic Web Services. In: Dan, A., Lamersdorf, W. (eds.) ICSOC 2006. LNCS, vol. 4294, pp. 390-401. Springer, Heidelberg (2006).
[9]
Garcia, J.M., Toma, I., Ruiz, D., Ruiz-Cortes, A.: A service ranker based on logic rules evaluation and constraint programming. In: Proc. of 2nd Non Functional Properties and Service Level Agreements in SOCWorkshop (NFPSLASOC), Dublin, Ireland (2008).
[10]
Bajaj, S., Box, D., Chappell, D., et al.: Web Service Policy 1.2 - Framework (2006), http://www.w3.org/Submission/2006/SUBM-WS-Policy-20060425/.
[11]
Keller, A., Ludwig, H.: The WSLA framework: Specifying and monitoring service level agreements for web services. Journal of Network and Systems Management 11(1), 57-81 (2003).
[12]
Palmonari, M., Comerio, M., De Paoli, F.: Effective and Flexible NFP-Based Ranking ofWeb Services. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC-ServiceWave 2009. LNCS, vol. 5900, pp. 546-560. Springer, Heidelberg (2009).
[13]
De Paoli, F., Palmonari, M., Comerio, M., Maurino, A.: A Meta-Model for Non-Functional Property Descriptions of Web Services. In: Proc. of the IEEE International Conference on Web Services (ICWS), Beijing, China, pp. 393-400 (2008).
[14]
Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press (2008).
[15]
Stokoe, C.: Word sense disambiguation in information retrieval revisited. In: ACM SIGIR, pp. 159-166 (2003).
[16]
Järvelin, K., Kekäläinem, J.: Cumulated gain-based evaluation of ir techniques. ACM Transaction on Information Systems (TOIS) 20(4), 422-446 (2002).
[17]
Agrawal, R., Gollapudi, S., Halverson, A., Ieong, S.: Diversifying search results. In: WSDM 2009, pp. 5-14. ACM, New York (2009).
[18]
Palmonari, M., Sala, A., Maurino, A., Guerra, F., Pasi, G., Frisoni, G.: Aggregated search of data and services. Information Systems 36(2), 134-150 (2011).

Cited By

View all
  • (2016)A similarity-based framework for service repository integrationData & Knowledge Engineering10.1016/j.datak.2016.08.001106:C(18-35)Online publication date: 1-Nov-2016
  1. A semantic and information retrieval based approach to service contract selection

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    ICSOC'11: Proceedings of the 9th international conference on Service-Oriented Computing
    December 2011
    680 pages
    ISBN:9783642255342
    • Editors:
    • Gerti Kappel,
    • Zakaria Maamar,
    • Hamid R. Motahari-Nezhad

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 05 December 2011

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 05 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2016)A similarity-based framework for service repository integrationData & Knowledge Engineering10.1016/j.datak.2016.08.001106:C(18-35)Online publication date: 1-Nov-2016

    View Options

    View options

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media