Term Disambiguation in Natural Language Query for XML

  • Yunyao Li
  • Huahai Yang
  • H. V. Jagadish
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4027)


Converting a natural language query sentence into a formal database query is a major challenge. We have constructed NaLIX, a natural language interface for querying XML data. Through our experience with NaLIX, we find that failures in natural language query understanding can often be dealt with as ambiguities in term meanings. These failures are typically the result of either the user’s poor knowledge of the database schema or the system’s lack of linguistic coverage. With automatic term expansion techniques and appropriate interactive feedback, we are able to resolve these ambiguities. In this paper, we describe our approach and present results demonstrating its effectiveness.


Noun Phrase Error Message Parse Tree Feedback Message Generic Natural Language 
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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  1. 1.
  2. 2.
  3. 3.
    Androutsopoulos, I., et al.: Natural language interfaces to databases - an introduction. Journal of Language Engineering 1(1), 29–81 (1995)Google Scholar
  4. 4.
    Bates, M.J.: The design of browsing and berrypicking techniques for the on-line search interface. Online Review 13(5), 407–431 (1989)CrossRefGoogle Scholar
  5. 5.
    Burton Jones, A., et al.: A heuristic-based methodology for semantic augmentation of user queries on the Web. In: ICCM (2003)Google Scholar
  6. 6.
    Chu-carroll, J., et al.: A hybrid approach to natural language Web search. In: EMNLP (2002)Google Scholar
  7. 7.
    Cohen, S., et al.: XSEarch: A semantic search engine for XML. In: VLDB (2003)Google Scholar
  8. 8.
    Delden, S.V., Gomez, F.: Retrieving NASA problem reports: a case study in natural language information retrieval. Data & Knowledge Engineering 48(2), 231–246 (2004)CrossRefGoogle Scholar
  9. 9.
    Fails, J.A., Olsen, D.R.: A design tool for camera-based interaction. In: CHI (2003)Google Scholar
  10. 10.
    Guo, L., et al.: XRANK: Ranked keyword search over XML documents. In: SIGMOD (2003)Google Scholar
  11. 11.
    Hill, W.C., et al.: Read wear and edit wear. In: CHI (1992)Google Scholar
  12. 12.
    Hristidis, V., et al.: Keyword proximity search on XML graphs. In: ICDE (2003)Google Scholar
  13. 13.
    Hulgeri, A., et al.: Keyword search in databases. IEEE Data Engineering Bulletin 24, 22–32 (2001)Google Scholar
  14. 14.
    Kapetanios, E., Groenewoud, P.: Query construction through meaningful suggestions of terms. In: FQAS (2002)Google Scholar
  15. 15.
    Kupper, D., et al.: NAUDA: A cooperative natural language interface to relational databases. SIGMOD Record 22(2), 529–533 (1993)CrossRefGoogle Scholar
  16. 16.
    Li, Y., et al.: Schema-Free XQuery. In: VLDB (2004)Google Scholar
  17. 17.
    Li, Y., et al.: Nalix: an interactive natural language interface for querying XML. In: SIGMOD (2005)Google Scholar
  18. 18.
    Li, Y., etal: Constructing a generic natural language interface for an XML database. In: Ioannidis, Y., Scholl, M.H., Schmidt, J.W., Matthes, F., Hatzopoulos, M., Böhm, K., Kemper, A., Grust, T., Böhm, C. (eds.) EDBT 2006. LNCS, vol. 3896, pp. 737–754. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  19. 19.
    Lin, D.: Dependency-based evaluation of MINIPAR. In: Workshop on the Evaluation of Parsing Systems (1998)Google Scholar
  20. 20.
    Morita, M., Shinoda, Y.: Information filtering based on user behavior analysis and best match text retrieval. In: SIGIR (1994)Google Scholar
  21. 21.
    Quirk, R., et al.: A Comprehensive Grammar of the English Language. Longman, London (1985)Google Scholar
  22. 22.
    Navigli, P.V.R.: An analysis of ontology-based query expansion strategies. In: Workshop on Adaptive Text Extraction and Mining (2003)Google Scholar
  23. 23.
    Remde, J.R., et al.: Superbook: an automatic tool for information exploration - hypertext? In: Hypertext, pp. 175–188. ACM Press, New York (1987)Google Scholar
  24. 24.
    Russell, B.C., et al.: Labelme: A database and web-based tool for image annotation. MIT AI Lab Memo (2005)Google Scholar
  25. 25.
    Stallard, D.: A terminological transformation for natural language question-answering systems. In: ANLP (1986)Google Scholar
  26. 26.
    The World Wide Web Consortium. XML Query Use Cases. W3C Working Draft (2003), Available at:
  27. 27.
    The World Wide Web Consortium. Extensible Markup Language (XML) 1.0, 3rd edn. W3C Recommendation (2004), Available at:
  28. 28.
    Trigoni, A.: Interactive query formulation in semistructured databases. In: FQAS (2002)Google Scholar
  29. 29.
    von Ahn, L., Dabbish, L.: Labeling images with a computer game. In: CHI (2004)Google Scholar
  30. 30.
    Woods, W.A., et al.: The Lunar Sciences Natural Language Information System: Final Report. Bolt Beranek and Newman Inc., Cambridge (1972)Google Scholar
  31. 31.
    Xu, J., Croft, W.B.: Query expansion using local and global document analysis. In: SIGIR (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yunyao Li
    • 1
  • Huahai Yang
    • 2
  • H. V. Jagadish
    • 1
  1. 1.University of MichiganAnn ArborUSA
  2. 2.University at Albany, SUNYAlbanyUSA

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