Abstract

Most tasks performed by users of complex information systems involve interaction with multiple knowledgeand data-bases. Examples can be found in the areas of analysis, resource planning and briefing applications. Retrieval of desired information dispersed in multiple sources requires general familiarity with their contents and structure, with their query languages, with their location on existing networks, and more. The user must break down a given retrieval task into a sequence of actual queries to databases and/or knowledge bases, and must handle the temporary storing and possible transformation of intermediate results—all this while satisfying constraints on reliability of the results and the cost of the retrieval process.
With a large number of information sources, it is difficult to find individuals who possess the required knowledge, and automation becomes a necessity. There is an elegant solution to the problem …

Date

June 1, 1993

Authors

Yigal Arens, Craig Knoblock

Book

Proceedings of the 1993 ACM SIGMOD international conference on Management of data

Pages

562-563