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An intelligent approach to handling imperfect information in concept-based natural language queries

An intelligent approach to handling imperfect information in concept-based natural language queries Missing information, imprecision, inconsistency, vagueness, uncertainty, and ignorance abound in information systems. Such imperfection is a fact of life in database systems. Although these problems are widely studied in relational database systems, this is not the case in conceptual query systems. And yet, concept-based query languages have been proposed and some are already commercial products. It is therefore imperative to study these problems in concept-based query languages, with a view to prescribing formal approaches to dealing with the problems. In this article, we have done just that for a concept-based natural language query system that we developed. A methodology for handling and resolving each type of imperfection is developed. The proposed approaches are automated as much as possible, with the user mainly serving an assistive function. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Information Systems (TOIS) Association for Computing Machinery

An intelligent approach to handling imperfect information in concept-based natural language queries

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References (97)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2002 by ACM Inc.
ISSN
1046-8188
DOI
10.1145/568727.568729
Publisher site
See Article on Publisher Site

Abstract

Missing information, imprecision, inconsistency, vagueness, uncertainty, and ignorance abound in information systems. Such imperfection is a fact of life in database systems. Although these problems are widely studied in relational database systems, this is not the case in conceptual query systems. And yet, concept-based query languages have been proposed and some are already commercial products. It is therefore imperative to study these problems in concept-based query languages, with a view to prescribing formal approaches to dealing with the problems. In this article, we have done just that for a concept-based natural language query system that we developed. A methodology for handling and resolving each type of imperfection is developed. The proposed approaches are automated as much as possible, with the user mainly serving an assistive function.

Journal

ACM Transactions on Information Systems (TOIS)Association for Computing Machinery

Published: Jul 1, 2002

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