Discovering and Resolving User Intent in Heterogeneous Databases

Authors:
Chris Fernandes;Lawrence Henschen
Affiliations:
Department of Computer Science, Colby College, Waterville, ME 04901 (e-mail: cfernand@colby.edu);Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60201 (e-mail: henschen@ece.northwestern.edu)
Venue:
Fundamenta Informaticae - Intelligent Systems
Year:
2001

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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 domain-specific 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.