Abstract
The dynamic description logic (DDL) is utilized as one emerging AI planning-related solution for automatic Web service composition. However, reasoning utilization when facing the real world service applications in such DDL-related solutions is still an open problem. In this paper, we propose the cooperative reasoning-based multi-agent model (CREMA) which can systematically incorporate DDL action reasoning with data mining, together with a support-based planning method for task decomposition in order to improve the overall throughput of the Web service execution. The case study and experimental analysis demonstrates the capability of the proposed approach.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Agrawal, R., Imielinski, T., Swami, A.N.: Minig association rule between sets of items in large databases. In: Proceedings of ACM SIGMOD International Conference on Management of Data, pp. 207–216 (1993)
Bellifemine, F., Poggi, A., Rimassa, G.: JADE: a FIPA 2000 compliant agent development environment. In: Proceedings of the Fifth International Conference on Autonomous Agents, pp. 216–217. ACM (2001)
Braubach, L., Pokahr, A., Moldt, D., Lamersdorf, W.: Goal Representation for BDI Agent Systems. In: Bordini, R.H., Dastani, M.M., Dix, J., El Fallah Seghrouchni, A. (eds.) PROMAS 2004. LNCS (LNAI), vol. 3346, pp. 44–65. Springer, Heidelberg (2005)
Caire, G., Gotta, D., Banzi, M.: Wade: a software platform to develop mission critical applications exploiting agents and workflows. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems: Industrial Track, pp. 29–36 (2008)
Cao, L., Gorodetsky, V., Mitkas, P.A.: Agent mining: The synergy of agents and data mining. IEEE Intelligent Systems 24(3), 64–72 (2009)
Cao, L., Luo, C., Zhang, C.: Agent-Mining Interaction: An Emerging Area. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds.) AIS-ADM 2007. LNCS (LNAI), vol. 4476, pp. 60–73. Springer, Heidelberg (2007)
Cao, L., Zhang, C.: F-trade: an agent-mining symbiont for financial services. In: Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, p. 262. ACM (2007)
Central, S.: Owls-tc: An OWL-S service retrieval test collection (May 22, 2008), http://projects.semwebcentral.org/projects/owlstcV2
Chang, L., Shi, Z., Qiu, L.R., Lin, F.: A tableau decision algorithm for dynamic description logic. Jisuanji Xuebao/Chinese Journal of Computers 31(6), 896–909 (2008)
Chang, L., Shi, Z., Gu, T., Zhao, L.: A family of dynamic description logics for representing and reasoning about actions. Journal of Automatic Reasoning (2011)
Curbera, F., Duftler, M., Khalaf, R., Nagy, W., Mukhi, N., Weerawarana, S.: Unraveling the Web services web: an introduction to SOAP, WSDL, and UDDI. IEEE Internet Computing 6(2), 86–93 (2002)
Dickinson, I., Wooldridge, M.: Agents are not (just) web services: considering bdi agents and web services. In: Proceedings of the 2005 Workshop on Service-Oriented Computing and Agent-Based Engineering (SOCABE 2005), citeseer, Utrecht, The Netherlands (2005)
Dikenelli, O., Erdur, R.C., Gumus, O.: Seagent: a platform for developing semantic web based multi agent systems. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, p. 1272. ACM (2005)
Fikes, R., Hayes, P., Horrocks, I.: Owl-qla language for deductive query answering on the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web 2(1), 19–29 (2004)
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann (2005)
Krishnaswamy, S., Zaslavsky, A., Loke, S.: An architecture to support distributed data mining services in e-commerce environments. In: WECWIS, p. 239. IEEE Computer Society (2000)
Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T., et al.: OWL-S: Semantic markup for web services. W3C Member Submission 22, 2007–04 (2004)
McBride, B.: Jena: A semantic web toolkit. IEEE Internet Computing 6(6), 55–59 (2002)
McGuinness, D., Van Harmelen, F., et al.: OWL web ontology language overview. W3C Recommendation 10, 2004–03 (2004)
Niu, W., Li, G., et al.: Multi-granularity context model for dynamic Web service composition. Journal of Network Computer Applications 34, 312–326 (2011)
Shi, Z., Dong, M., Jiang, Y., Zhang, H.: A logical foundation for the semantic Web. Science in China Series F: Information Sciences 48(2), 161–178 (2005)
Shi, Z., Zhang, H., Cheng, Y., Jiang, Y., Sheng, Q., Zhao, Z.: Mage: An agent-oriented programming environment. In: Proceedings of the Third IEEE International Conference on Cognitive Informatics, pp. 250–257. IEEE Computer Society (2004)
Wu, D., Sirin, E., Hendler, J., Nau, D., Parsia, B.: Automatic web services composition using shop2. In: Proceedings of the World Wide Web Conference (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, X., Niu, W., Li, G., Yang, X., Shi, Z. (2012). Mining Frequent Agent Action Patterns for Effective Multi-agent-Based Web Service Composition. In: Cao, L., Bazzan, A.L.C., Symeonidis, A.L., Gorodetsky, V.I., Weiss, G., Yu, P.S. (eds) Agents and Data Mining Interaction. ADMI 2011. Lecture Notes in Computer Science(), vol 7103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27609-5_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-27609-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27608-8
Online ISBN: 978-3-642-27609-5
eBook Packages: Computer ScienceComputer Science (R0)