Skip to main content
SpringerLink
Log in

Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql

  • Conference paper
  • First Online:
Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

Included in the following conference series:

Abstract

This paper presents the method of domain knowledge extracting in NChiql, a Chinese natural language interface to databases. After describing the overall extracting strategy in NChiql, we mainly discuss the basic semantic information extracting method, called DSE. A semantic conceptual graph is employed to specify two types of modification and three types of verbal relationship among the entities, relationships and attributes. Compared with related works. DSE has more strongly extracting ability.

This paper is supported by the National Natural Science Foundation of China.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Copestake, A,, Jones, S. K.: Natural Language Interfaces to Databases. The Knowledge Engineering Review 4 (1990) 225–249.

    Article  Google Scholar 

  2. Andersson, M.: Extracting an Entity Relationship Schema from a Relational Database through Reverse Engineering, http://hypatia.dcs.qmw,ac.uWSELHPC/Articles/DBAchive.html

  3. Hendrix, G.G., Lewis, W.H.: Transportable Natural Language Interface to Database. American Journal of Computational Linguistic 2 (1981) 159–165.

    Google Scholar 

  4. Grosz, B., et al.: Team: An Experiment in the Design of Transportable Natural-Language Interfaces. Artlficial fntelligence 32 (1987) 173–243.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information, Renmin University of China, Beijing, 100872

    Xiaofeng Meng, Yong Zhou & Shan Wang

  2. Institute of Computing Technology, The Chinese Academy of Sciences, China

    Xiaofeng Meng

Authors
  1. Xiaofeng Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yong Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Meng, X., Zhou, Y., Wang, S. (1999). Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_25

Download citation

  • DOI: https://doi.org/10.1007/3-540-48912-6_25

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation