A logic programming approach to knowledge-state planning, II: the DLVk system
Artificial Intelligence
Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
Conformant planning via symbolic model checking and heuristic search
Artificial Intelligence
Artificial Intelligence
Conformant planning via heuristic forward search: a new approach
Artificial Intelligence
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Planning graph heuristics for belief space search
Journal of Artificial Intelligence Research
Synthy: A system for end to end composition of web services
Web Semantics: Science, Services and Agents on the World Wide Web
DL Reasoning and AI Planning for Web Service Composition
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Efficient learning of action schemas and web-service descriptions
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Automated composition of Web services via planning in asynchronous domains
Artificial Intelligence
An overview of AI research in Italy
Artificial intelligence
Composition of Services with Constraints
Electronic Notes in Theoretical Computer Science (ENTCS)
Learning complex action models with quantifiers and logical implications
Artificial Intelligence
s slGolog: When conditional compositions of web services meet semantic links and causal laws
Web Intelligence and Agent Systems
Exception handling in web service processes
The evolution of conceptual modeling
Towards a compiler for business-IT systems: a vision statement complemented with a research agenda
CEE-SET'08 Proceedings of the Third IFIP TC 2 Central and East European conference on Software engineering techniques
An Optimal and Complete Algorithm for Automatic Web Service Composition
International Journal of Web Services Research
Action-model acquisition from noisy plan traces
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Refining incomplete planning domain models through plan traces
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Learning web-service task descriptions from traces
Web Intelligence and Agent Systems
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Thanks to recent advances, AI Planning has become the underlying technique for several applications. Amongst these, a prominent one is automated Web Service Composition (WSC). One important issue in this context has been hardly addressed so far: WSC requires dealing with background ontologies. The support for those is severely limited in current planning tools. We introduce a planning formalism that faithfully represents WSC. We show that, unsurprisingly, planning in such a formalism is very hard. We then identify an interesting special case that covers many relevant WSC scenarios, and where the semantics are simpler and easier to deal with. This opens the way to the development of effective support tools for WSC. Furthermore, we show that if one additionally limits the amount and form of outputs that can be generated, then the set of possible states becomes static, and can be modelled in terms of a standard notion of initial state uncertainty. For this, effective tools exist; these can realize scalable WSC with powerful background ontologies. In an initial experiment, we show how scaling WSC instances are comfortably solved by a tool incorporating modern planning heuristics.