Abstract

We introduce a framework for learning Local-as-View (LAV) source definitions for the operations provided by a Web Service. These definitions can then be used to compose the operations of the Web Service into query execution plans. In order to learn the definition for a new service, we actively invoke the service and compare its output with that of other known services. We combine Inductive Logic Programming (ILP) and Query Reformulation techniques in order to generate and test plausible source definitions for the operations of the service. We test our framework on a real Web Service implementation.

Date

September 22, 2025

Authors

Mark James Carman, Craig A Knoblock

Journal

Proceedings of the AAAI 2005 Workshop on Exploring Planning and Scheduling for Web Services, Grid, and Autonomic Computing