Natural Language Aided Visual Query Building for Complex Data Access

Authors

  • Shimei Pan IBM T. J. Watson Research Center
  • Michelle Zhou IBM T. J. Watson Research Center
  • Keith Houck IBM T. J. Watson Research Center
  • Peter Kissa IBM T. J. Watson Research Center

DOI:

https://doi.org/10.1609/aaai.v24i2.18819

Abstract

Over the past decades, there have been significant efforts on developing robust and easy-to-use query interfaces to databases. So far, the typical query interfaces are GUI-based visual query interfaces. Visual query interfaces however, have limitations especially when they are used for accessing large and complex datasets. Therefore, we are developing a novel query interface where users can use natural language expressions to help author visual queries. Our work enhances the usability of a visual query interface by directly addressing the "knowledge gap" issue in visual query interfaces. We have applied our work in several real-world applications. Our preliminary evaluation demonstrates the effectiveness of our approach

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Published

2010-07-11

How to Cite

Pan, S., Zhou, M., Houck, K., & Kissa, P. (2010). Natural Language Aided Visual Query Building for Complex Data Access. Proceedings of the AAAI Conference on Artificial Intelligence, 24(2), 1821-1826. https://doi.org/10.1609/aaai.v24i2.18819