Discovering and Resolving User Intent in Heterogeneous Databases

Authors:
Chris Fernandes;Lawrence J. Henschen
Affiliations:
-;-
Venue:
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Year:
2000

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Abstract

We propose a system whereby subtle semantic ambiguity found in queries of distributed heterogeneous database systems can be resolved by considering the user's intentions. Through the use of domainspecific knowledge embedded within a mediator-based architecture, subtleties in meaning can be explicitly modeled. Through the use of dynamic profiles and active dialogue, the system can discover user intent, providing more satisfying query answers.