Discovering and resolving user intent in heterogeneous databases

Chris Fernandes*, Lawrence Joseph Henschen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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 languageEnglish (US)
Pages (from-to)137-154
Number of pages18
JournalFundamenta Informaticae
Issue number1-2
StatePublished - Jul 1 2001


  • Heterogeneous databases
  • Intent
  • Mediation

ASJC Scopus subject areas

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


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