Discovering and resolving user intent in heterogeneous databases

Chris Fernandes; Lawrence Joseph Henschen

Discovering and resolving user intent in heterogeneous databases

Chris Fernandes^*, Lawrence Joseph Henschen

^*Corresponding author for this work

Computer Science

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	137-154
Number of pages	18
Journal	Fundamenta Informaticae
Volume	47
Issue number	1-2
State	Published - Jul 1 2001

Keywords

Heterogeneous databases
Intent
Mediation

ASJC Scopus subject areas

Theoretical Computer Science
Algebra and Number Theory
Information Systems
Computational Theory and Mathematics

Cite this

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Discovering and resolving user intent in heterogeneous databases

Abstract

Keywords

ASJC Scopus subject areas

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