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Service Mining on the Web
January-March 2009 (vol. 2 no. 1)
pp. 65-78
George Zheng, Virginia Tech, Blacksburg
Athman Bouguettaya, CSIRO ICT Centre, Canberra
The Web is transforming from a Web of data to a Web of both Semantic data and services. This trend is providing us with increasing opportunities to compose potentially interesting and useful services from existing services. While we may not sometimes have the specific queries needed in top-down service composition approaches to identify them, the early and proactive exposure of these opportunities will be key to harvest the great potential of the large body of Web services. In this paper, we propose a Web service mining framework that allows unexpected and interesting service compositions to automatically emerge in a bottom-up fashion. We present several mining techniques aiming at the discovery of such service compositions. We also present evaluation measures of their interestingness and usefulness. As a novel application of this framework, we demonstrate its effectiveness and potential by applying it to service-oriented models of biological processes for the discovery of interesting and useful pathways.

[1] Web Services Architecture—W3C Working Group Note, /, Feb. 2004.
[2] G. Zheng and A. Bouguettaya, “A Web Service Mining Framework,” Proc. IEEE Int'l Conf. Web Services (ICWS '07), July 2007.
[3] P. Ball, Designing the Molecular World—Chemistry at the Frontier. Princeton Univ. Press, 1994.
[4] OWL-S: Semantic Markup for Web Services—W3C Member Submission,, Nov. 2004.
[5] Web Service Modeling Ontology, http:/, 2009.
[6] B. Medjahed, A. Bouguettaya, and A.K. Elmagarmid, “Composing Web Services on the Semantic Web,” VLDB J., Sept. 2003.
[7] J. Augen, “The Evolving Role of Information Technology in the Drug Discovery Process,” Drug Discovery Today, vol. 7, pp.315-323, 2002.
[8] L. Zeng, B. Benatallah, A.H.H. Ngu, M. Dumas, J. Kalagnanam, and H. Chang, “QoS-Aware Middleware for Web Services Composition,” IEEE Trans. Software Eng., vol. 30, no. 5, pp.311-327, May 2004.
[9] S. Borzsonyi, D. Kossmann, and K. Stocker, “The Skyline Operator,” Proc. 17th Int'l Conf. Data Eng., pp.421-430, 2001.
[10] G. Zheng and A. Bouguettaya, “Discovering Pathways of Service Oriented Biological Processes,” Proc. Ninth Int'l Conf. Web information Systems Eng. (WISE '08), Sept. 2008.
[11] S.Y. Auyang, “From Experience to Design—The Science behind Aspirin,” aspirin. htm, 2009.
[12] C. Freudenrich, “How Pain Works,” http://health.howstuffworks. compain.htm , 2009.
[13] L. Hoffman, “How Aspirin Works,” http://health.howstuffworks. comaspirin1.htm , 2009.
[14] M. Landau, “Inflammatory Villain Turns Do-Gooder,” immunology.html, 2009.
[15] M.-J. Yin, Y. Yamamto, and R.B. Gaynor, “The Anti Inflammatory Agents Aspirin and Salicylate Inhibit the Activity of I$\kappa$ B kinase-$\beta$ ,” Nature, vol. 369, pp. 77-80, Nov. 1998.
[16] The Web Service Modeling Language WSML, http://www.wsmo. org/wsmlwsml-syntax, 2009.
[17] Web Services Execution Environment,, 2009.
[18] D. Ardagna and B. Pernici, “Global and Local QoS Constraints Guarantee in Web Service Selection,” Proc. IEEE Int'l Conf. Web Services (ICWS '05), July 2005.
[19] P. Xiong, Y. Fan, and M. Zhou, “QoS-Aware Web Service Configuration,” IEEE Trans. Systems, Man, and Cybernetics, Part A, vol. 38, no. 4, pp.888-895, 2008.
[20] S. Lamparter, A. Ankolekar, R. Studer, and S. Grimm, “Preference-Based Selection of Highly Configurable Web Services,” Proc. 16th Int'l Conf. World Wide Web (WWW '07), pp.1013-1022, 2007.
[21] R. Jurca, B. Faltings, and W. Binder, “Reliable QoS Monitoring Based on Client Feedback,” Proc. 16th Int'l Conf. World Wide Web (WWW '07), pp.1003-1012, 2007.
[22] S. Dustdar, T. Hoffmann, and W. van der Aalst, “Mining of Ad-Hoc Business Processes with TeamLog,” Data and Knowledge Eng., , 2005.
[23] Q.A. Liang, J.-Y. Chung, S. Miller, and Y. Ouyang, “Service Pattern Discovery of Web Service Mining in Web Service Registry-Repository,” Proc. IEEE Int'l Conf. e-Business Eng. (ICEBE '06), pp.286-293, 2006.

Index Terms:
Service mining, service recognition, interestingness, usefulness, pathway discovery.
George Zheng, Athman Bouguettaya, "Service Mining on the Web," IEEE Transactions on Services Computing, vol. 2, no. 1, pp. 65-78, Jan.-March 2009, doi:10.1109/TSC.2009.2
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