Fast planning through planning graph analysis
Artificial Intelligence
Distributed and Parallel Databases
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
Adaptive and Dynamic Service Composition in eFlow
CAiSE '00 Proceedings of the 12th International Conference on Advanced Information Systems Engineering
Jess in Action: Java Rule-Based Systems
Jess in Action: Java Rule-Based Systems
Semi-automatic generation of web services and BPEL processes – a model-driven approach
BPM'05 Proceedings of the 3rd international conference on Business Process Management
A survey of automated web service composition methods
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Flexible decision control in an autonomous trading agent
Electronic Commerce Research and Applications
Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
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Semantic Web technologies offer the prospect of significantly reducing the amount of effort required to integrate existing enterprise functionality in support of new composite processes.– whether within a given organization or across multiple ones. A significant body of work in this area has aimed to fully automate this process, while assuming that all functionality has already been encapsulated in the form of semantic web services with rich and accurate annotations. In this article, we argue that this assumption is often unrealistic. Instead, we describe a mixed initiative framework for semantic web service discovery and composition that aims at flexibly interleaving human decision making and automated functionality in environments where annotations may be incomplete and even inconsistent. An initial version of this framework has been implemented in SAP’s Guided Procedures, a key element of SAP’s Enterperise Service Architecture (ESA).