skip to main content
10.1145/1517303.1517322acmconferencesArticle/Chapter ViewAbstractPublication PagescomputeConference Proceedingsconference-collections
research-article

NLION: Natural Language Interface for querying ONtologies

Published:09 January 2009Publication History

ABSTRACT

Use of semantic web models for representing expert knowledge about a domain as an ontology is becoming increasingly common. However, since these ontologies contain detailed domain information in a formal specification, it cannot be easily understood by a casual user. Providing a natural language interface to ontologies will help such users to retrieve the required information and will further enable use of these ontologies in sophisticated applications. This paper presents NLION, a Natural Language Interface for querying ONtologies, which accepts a natural language query and outputs a SPARQL query. For achieving this, we use semantic relation tagging to recognize the meaning of the user query with respect to the target ontology. NLION effectiveness was analyzed and it was found to be 61.60%.

References

  1. Hirschman, L., Gaizauskas, R.: Natural Language question answering: the view from here. Natural Language Engineering, Special Issue on Question Answering, 7(4) (2001) 275--300. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Burger, J., Cardie, C., et al.: Issues, Tasks and Program Structures to Roadmap Research in Question & Answering (Q&A) NIST, 2002.Google ScholarGoogle Scholar
  3. Copestake, A., Jones, K. S.: Natural Language Interfaces to Databases. Knowledge Engineering Review 5(4) (1990)Google ScholarGoogle ScholarCross RefCross Ref
  4. Androutsopoulos, I., Ritchie, G. D., Thanisch P.: Natural Language Interfaces to Databases - An Introduction. Natural Language Engineering, 1(1) (1995).Google ScholarGoogle Scholar
  5. Kaufmann, E., Bernstein, A., Zumstein, R.: Querix: A Natural Language Interface to Query Ontologies Based on Clarification Dialogs. In: 5th International Semantic Web Conference (ISWC 2006), Springer (2006)Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Wang, C., Xiong, M., Zhou, Q., and Yu, Y. (2007) PANTO: A Portable Natural Language Interface to Ontologies. European Semantic Web Conference (ESWC2007), Innsbruck, Austria. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Lopez, V., Pasin, M., Motta, E.: AquaLog: An Ontology-Portable Question Answering System for the Semantic Web. In: ESWC. (2005) Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. www.research.nokia.com/files/SNLP.camera.pdfGoogle ScholarGoogle Scholar
  9. Amanda Spink, Wolfram Dietmar, Jansen Major B. J., and Saracevic Tefko. Searching the web: The public and their queries. Journal of the American Society for Information Science and Technology, 52(3): 226--134, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. http://www.w3.org/TR/rdf-sparql-query/Google ScholarGoogle Scholar
  11. http://en.wikipedia.org/wiki/Query_expansionGoogle ScholarGoogle Scholar
  12. Qiu, Y. and Frei, H. P., Concept Based Query Expansion. In Proceedings of SIGIR-93, 16th ACM International Conference on Research and Development in Information Retrieval, Pittsburgh, SIGIR Forum, ACM Press, June 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. http://www.keyoti.com/products/rapidspell/javaWeb/Google ScholarGoogle Scholar
  14. Kraaij, W. and Pohlmann, R., 1996: Viewing stemming as recall enhancement, in H-P. Frei, D. Harman, P. Schauble & R. Wilkinson (eds.), Proceedings of the 17th ACM SIGIR conference held at Zurich, August 18--22, pp. 40--48. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. http://en.wikipedia.org/wiki/StemmingGoogle ScholarGoogle Scholar
  16. http://www.db.dk/bh/Lifeboat_KO/CONCEPTS/semantic_relations.htmGoogle ScholarGoogle Scholar
  17. http://www.w3.org/2005/01/yacker/uploads/SPARQL?lang=perl&markup=htmlGoogle ScholarGoogle Scholar
  18. http://sparql.sorceforge.netGoogle ScholarGoogle Scholar
  19. http://protege.stanford.edu/plugins/owl/apiGoogle ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    COMPUTE '09: Proceedings of the 2nd Bangalore Annual Compute Conference
    January 2009
    148 pages
    ISBN:9781605584768
    DOI:10.1145/1517303

    Copyright © 2009 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 9 January 2009

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article

    Acceptance Rates

    COMPUTE '09 Paper Acceptance Rate10of113submissions,9%Overall Acceptance Rate114of622submissions,18%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader