Abstract
Web service technology provides a way for simplifying interoperability among different organizations. A piece of functionality available as a web service can be involved in a new business process. Given the steadily growing number of available web services, it is hard for developers to find services appropriate for their needs. The main research efforts in this area are oriented on developing a mechanism for semantic web service description and matching. In this paper, we present an alternative approach for supporting users in web service discovery. Our system implements the implicit culture approach for recommending web services to developers based on the history of decisions made by other developers with similar needs. We explain the main ideas underlying our approach and report on experimental results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akkiraju, R., et al.: Web service semantics - WSDL-S (2005), available at http://lsdis.cs.uga.edu/library/download/WSDL-S-V1.pdf
Keller, U., Lara, R., Polleres, A.: WSMO web service discovery. WSMO working draft (2004), available at http://www.wsmo.org/2004/d5/d5.1/
Martin, D., et al.: et al.: OWL-S: Semantic markup for web services. W3C member submission (2004), available at http://www.w3.org/Submission/OWL-S/
Piccinelli, G., Stefanelli, C., Trastour, D.: Trusted mediation for e-service provision in electronic marketplaces. In: Fiege, L., Mühl, G., Wilhelm, U.G. (eds.) WELCOM 2001. LNCS, vol. 2232, pp. 39–50. Springer, Heidelberg (2001)
Mahbub, K., Spanoudakis, G.: A framework for requirements monitoring of service based systems. In: Proceedings of the International Conference on Service-Oriented Computing (ICSOC), pp. 84–93. ACM Press, New York (2004)
Herlocker, J.L., Konstan, J.A., Riedl, J.: Explaining collaborative filtering recommendations. In: Proceedings of ACM Conference on Computer Supported Cooperative Work, pp. 241–250. ACM Press, New York (2000)
Maximilien, E.M., Singh, M.P.: Conceptual model of web service reputation. SIGMOD Record 31(4), 36–41 (2002)
Blanzieri, E., et al.: Implicit culture for multi-agent interaction support. In: Batini, C., et al. (eds.) CoopIS 2001. LNCS, vol. 2172, pp. 27–39. Springer, Heidelberg (2001)
Birukou, A., et al.: IC-Service: A service-oriented approach to the development of recommendation systems. In: Proceedings of ACM Symposium on Applied Computing. Special Track on Web Technologies, ACM Press, New York (2007)
Garofalakis, J., et al.: Web service discovery mechanisms: Looking for a needle in a haystack? In: International Workshop on Web Engineering (2004)
Tian, M., et al.: Efficient selection and monitoring of QoS-aware web services with the WS-QoS framework. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 152–158. IEEE Computer Society Press, Los Alamitos (2004)
Bostrom, G., Giambiagi, P., Olsson, T.: Quality of service evaluation in virtual organizations using SLAs. In: International Workshop on Interoperability Solutions to Trust, Security, Policies and QoS for Enhanced Enterprise Systems (IS-TSPQ) (2006)
Dan, A., Davis, D., R.,: Web services on demand: WSLA-driven automated management. IBM Systems Journal 43(1), 136–158 (2004)
Kokash, N., van den Heuvel, W.J., D’Andrea, V.: Leveraging web services discovery with customizable hybrid matching. In: Dan, A., Lamersdorf, W. (eds.) ICSOC 2006. LNCS, vol. 4294, pp. 522–528. Springer, Heidelberg (2006)
Baldi, P., Frasconi, P., Smyth, P.: Modeling the Internet and the Web: Probabilistic Methods and Algorithms. Wiley, Chichester (2003)
Kerrigan, M.: Web service selection mechanisms in the web service execution environment (WSMX). In: Proceedings of the ACM Symposium on Applied Computing (SAC), pp. 1664–1668. ACM Press, New York (2006)
Sherchan, W., Loke, S.W., Krishnaswamy, S.: A fuzzy model for reasoning about reputation in web services. In: Proceedings of ACM Symposium on Applied Computing, p. 1886. ACM Press, New York (2006)
Manikrao, U.S., Prabhakar, T.V.: Dynamic selection of web services with recommendation system. In: Proceedings of the International Conference on Next Generation Web Services Practices (NWESP), p. 117. IEEE Computer Society Press, Los Alamitos (2005)
Claypool, M., et al.: Implicit interest indicators. In: International Conference on Intelligent User Interfaces, pp. 33–40. ACM Press, New York (2001)
Maximilien, E.M., Singh, M.P.: A framework and ontology for dynamic web services selection. IEEE Internet Computing 8(5), 84–93 (2004)
Wang, H., et al.: Multiagent system for reputation–based web services selection. In: International Conference on Quality Software (QSIC), pp. 429–434. IEEE Computer Society Press, Los Alamitos (2006)
Xu, P., Gao, J., Guo, H.: Rating reputation: A necessary consideration in reputation mechanism. In: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, IEEE Computer Society Press, Los Alamitos (2005)
Casati, F., et al.: Probabilistic, context-sensitive, and goal-oriented service selection. In: Proceedings of the Internationa Conference on Service-Oriented Computing (ICSOC), pp. 316–321. ACM Press, New York (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Kokash, N., Birukou, A., D’Andrea, V. (2007). Web Service Discovery Based on Past User Experience. In: Abramowicz, W. (eds) Business Information Systems. BIS 2007. Lecture Notes in Computer Science, vol 4439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72035-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-72035-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72034-8
Online ISBN: 978-3-540-72035-5
eBook Packages: Computer ScienceComputer Science (R0)