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Building Expert Databases: L-CATA — An Intelligent Logic Based Travel Assistant

  • David Cleary
  • John Zeleznikow
Conference paper

Abstract

The task of successfully integrating artificial intelligence into databases is a difficult one. We argue that significant research results can be achieved by building Expert Database prototypes. Our Expert Database System, L-CATA (a Logic based Computer Aided Travel Assistant), provides intelligent travel advice. LCATA is a deductive database system written in TURBOPROLOG. We outline L-CATA’s query specification, search strategies, database and user-interface. L-CATA maintains a database of direct flights to which is applied a traveller’s query specification comprising constraints, user-rules and goals. If the traveller is dissatisfied with the retrieved answer set he/she can either modify his/her query specification or specify that L-CATA is to repeat its search but with certain constraints violated in order to optimise his/her goals.

Keywords

Optimal Route Horn Clause Travel Agent Direct Flight Deductive Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1991

Authors and Affiliations

  • David Cleary
    • 1
  • John Zeleznikow
    • 1
  1. 1.Database Research LaboratoryApplied Computing Research Institute, La Trobe UniversityBundooraAustralia

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