Planning and Reformulating Queries for Semantically-Modeled Multidatabase Systems (1992)
| Venue: | In Proceedings of the First International Conference on Information and Knowledge Management |
| Citations: | 46 - 3 self |
BibTeX
@INPROCEEDINGS{Arens92planningand,
author = {Yigal Arens and Craig A. Knoblock},
title = {Planning and Reformulating Queries for Semantically-Modeled Multidatabase Systems},
booktitle = {In Proceedings of the First International Conference on Information and Knowledge Management},
year = {1992},
pages = {92--101}
}
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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 Artificial 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 efficient. 1 Introduction Most tasks performed by users of complex information systems involve...
