Abstract

With vast amounts of information available from various sources, integrating data from multiple databases is an important problem. The SIMS project attacks this problem using a variety of Arti cial Intelligence techniques, including planning, knowledge representation, problem reformulation, and learning. To integrate multiple databases, the user provides a semantic model of the application domain and then uses this model to describe the contents of the available databases. Given a query, the system uses a planner to decide which databases must be queried and in what order the queries should be executed. This paper focuses on the query planning problem| the selection of appropriate data sources and ordering the accesses to them, and on the reformulation of queries| the use of knowledge both about the domain and the databases to modify queries to make the retrieval plans for them more ecient.

Date

January 1, 1970

Authors

Yigal Arens, Craig Knoblock

Journal

Proceedings of the International Conference on Knowledge Management