An Empirical Investigation into Web Service Composition Using Automated Semantic AI Planners

International Journal of Computer Science and Technology | Vol. 6, No. 9, September 2004 | pp. 65–72

DOI: 10.46882/2004/IJCST/000062

Article Type: Original Research Paper

Title: An Empirical Investigation into Web Service Composition Using Automated Semantic AI Planners

Names of Authors: Amina Bekele¹, Jean-Claude Mpasa²

Authors’ Affiliations: ¹Department of Information Science, Addis Ababa University, Ethiopia; ²Department of Computer Science, University of Kinshasa, Democratic Republic of the Congo

Abstract: Combining individual business web services into an integrated enterprise workflow remains an expensive, manual engineering process due to a lack of explicit semantic descriptors. This research conducts a comparative empirical evaluation of three automated Artificial Intelligence planning systems—SHOP2, FastForward, and an optimized heuristic search planner—tailored for automated Web Service composition. Utilizing a testbed described in OWL-S with 500 unique transactional service endpoints, we measured planning duration, graph complexity, and success rates under conflicting operational criteria. The heuristic search planner outperformed competing architectures by mapping dependency strings inside a unified semantic abstraction layer, achieving a service composition generation rate of under 180 ms per workflow request. Our analysis demonstrates that utilizing ontological relationships minimizes graph compilation errors by 32.5%, providing a practical blueprint for automated e-commerce and logistics software integration.

Keywords: Web Services, Semantic Web, AI Planning, Ontology, OWL-S, Service-Oriented Architecture

Manuscript Timeline: Received: June 18, 2004; Revised: July 29, 2024; Accepted: August 21, 2004; Published: September 12, 2004

Citation: Bekele, A., & Mpasa, J.-C. (2004). An Empirical Investigation into Web Service Composition Using Automated Semantic AI Planners. International Journal of Computer Science and Technology, 6(9), 65–72.

Subscribe to read the full article: https://www.internationalscholarsjournals.org/subscribe-to-read