Lightweight Natural Language Database Interfaces

  • In-Su Kang
  • Seung-Hoon Na
  • Jong-Hyeok Lee
  • Gijoo Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3136)

Abstract

Most natural language database interfaces suffer from the translation knowledge portability problem, and are vulnerable to ill-formed questions because of their deep analysis. To alleviate those problems, this paper proposes a lightweight approach to natural language interfaces, where translation knowledge is semi-automatically acquired and user questions are only syntactically analyzed. For the acquisition of translation knowledge, first, a target database is reverse-engineered into a physical database schema on which domain experts annotate linguistic descriptions to produce a pER (physically-derived Entity-Relationship) schema. Next, from the pER schema, initial translation knowledge is automatically extracted. Then, it is extended with synonyms from lexical databases. In the stage of question answering, this semi-automatically constructed translation knowledge is then used to resolve translation ambiguities.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • In-Su Kang
    • 1
  • Seung-Hoon Na
    • 1
  • Jong-Hyeok Lee
    • 1
  • Gijoo Yang
    • 2
  1. 1.Division of Electrical and Computer EngineeringPohang University of Science and Technology (POSTECH), Advanced Information Technology Research Center (AITrc)PohangRepublic of Korea
  2. 2.Department of Information and Communication EngineeringDongguk UniversitySeoulRepublic of Korea

Personalised recommendations