Abstract
One of the most challenging problems that web-service enabled e-marketplaces face is the lack of support for appropriate service request languages that retrieve and aggregate services relevant to a business problem. We present an architectural framework for web-service interaction based on planning and constraint satisfaction, and a webservice request language (WSRL) developed on the basis of this framework. This framework is capable of performing planning under uncertainty on the basis of refinement and revision as new service-related information is accumulated (via interaction withth e user or UDDI) and as execution circumstances necessitate change.
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.
Similar content being viewed by others
References
U. Dal Lago, M. Pistore, and P. Traverso. Planning witha language for extended goals. In 18 th National Conference on Artificial Intelligence (AAAI-02), 2002.
J. Yang and M. Papazoglou. Web component: A substrate for web service reuse and composition. In 14 th Int. Conf. on Advanced Information Systems Engineering CAiSE02, 2002.
S. Smith, D. Hildum, and D.R. Crimm. Toward the design of web-based planning and scheduling services. In Int. Workshop on Automated Planning and Scheduling Technologies in New Methods of Electronic, Mobile and Collaborative Work, 2001.
D. McDermott. Estimated-regression planning for interactions withWeb Services. In 6 th Int. Conf. on AI Planning and Scheduling. AAAI Press, 2002.
C. A. Knoblock, S. Minton, J. L. Ambite, N. Ashish, I. Muslea, A. G. Philpot, and S. Tejada. The ariadne approach to web-based information integration. International the Journal on Cooperative Information Systems, 2002. Special Issue on Intelligent Information Agents: Theory and Applications, Forthcoming.
C. A. Knoblock, K. Lerman, S. Minton, and I. Muslea. Accurately and reliably extracting data from the web: A machine learning approach. Data Engineering Bulletin, 2002. To appear.
E. A. Emerson. Temporal and modal logic. In J. van Leeuwen, editor, Handbook of Theoretical Computer Science, Volume B. Elsevier, 1990.
P. Van Hentenryck and V.J. Saraswat, editors. Principles and Practice of Constraint Programming. MIT Press, 1995.
M. Ghallab, A. Howe, C. Knoblock, D. McDermott, A. Ram, M. Veloso, D. Weld, and D. Wilkins. PDDL—The Planning Domain Definition Language. In R. Simmons, M. Veloso, and S. Smith, editors, Int. Conf. AIPS98, 1998.
P. Bertoli, A. Cimatti, M. Pistore, M. Roveri, and P. Traverso. MBP: A Model Based Planner. In n Proc. IJCAI’01 Workshop on Planning under Uncertainty and Incomplete Information, 2001.
ECLIPSE. Eclipse Constraint Logic Programming System, 2002. http://www-icparc.doc.ic.ac.uk/eclipse.
M. Iwaihara. Supporting dynamic constraints for commerce negotiations. In WECWIS 2000. IEEE, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aiello, M. et al. (2002). A Request Language for Web-Services Based on Planning and Constraint Satisfaction. In: Buchmann, A., Fiege, L., Casati, F., Hsu, MC., Shan, MC. (eds) Technologies for E-Services. TES 2002. Lecture Notes in Computer Science, vol 2444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46121-3_10
Download citation
DOI: https://doi.org/10.1007/3-540-46121-3_10
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44110-6
Online ISBN: 978-3-540-46121-0
eBook Packages: Springer Book Archive