Data Integration and Planning Techniques for Automatic Web Service Composition

Dr. Jose Luis Ambite
Computer Scientist
USC/Information Sciences InstituteTITLE: Data Integration and Planning Techniques for Automatic Web Service CompositionABSTRACT:
In this talk, I will present three approaches to web service composition. The first approach uses data integration techniques to automatically generate a composition of information-gathering services.
The advantages of this approach include that the services can be precisely described using logical (Datalog) rules, and that it can generate recursive compositions. However, the modeling of complex inputs is limited. The second approach overcomes such limitations by using planning techniques and a more expressive logic (a first-order logic:
Powerloom) to model complex relational inputs and outputs of services.
This approach has been applied to generate scientific data-processing workflows. Finally, I will briefly describe our current work on extending the previous approaches to consider both information-gathering and causal effects of services.BIO:
Jose Luis Ambite is a Computer Scientist at the Information Sciences Institute of the University of Southern California. His research interests include information integration, automated planning,databases, and knowledge representation. His current focus is on automatic web service composition, a problem that combines aspects of planning and information integration. Dr. Ambite has published extensively on planning and information integration. He has served as technical reviewer and program committee member for major funding agencies, journals and conferences. In 2003, he started a series of international workshops on AI for Service Composition (at ICAPS, AAAI, and ECAI). He received his Ph.D. in Computer Science from the University of Southern California in 1998.

Location: Hedco Neurosciences Building (HNB) - 107

Audiences: Everyone Is Invited

Contact: Nancy Levien