skip to main content
10.1145/1148170.1148247acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
Article

Semantic search via XML fragments: a high-precision approach to IR

Published:06 August 2006Publication History

ABSTRACT

In some IR applications, it is desirable to adopt a high precision search strategy to return a small set of documents that are highly focused and relevant to the user's information need. With these applications in mind, we investigate semantic search using the XML Fragments query language on text corpora automatically pre-processed to encode semantic information useful for retrieval. We identify three XML Fragment operations that can be applied to a query to conceptualize, restrict, or relate terms in the query. We demonstrate how these operations can be used to address four different query-time semantic needs: to specify target information type, to disambiguate keywords, to specify search term context, or to relate select terms in the query. We demonstrate the effectiveness of our semantic search technology through a series of experiments using the two applications in which we embed this technology and show that it yields significant improvement in precision in the search results.

References

  1. D. Bikel, S. Miller, R. Schwartz, and R. Weischedel. Nymble: a high-performance learning name-finder. In Proc. 5th ANLP Conference, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Broder, Y. Maarek, M. Mandelbrod, and Y. Mass. Using XML to query XML -- from theory to practice. In Proceedings of RIAO, 2004.Google ScholarGoogle Scholar
  3. D. Carmel, Y. Maarek, M. Mandelbrod, Y. Mass, and A. Soffer. Searching XML documents via XML fragments. In Proc. 26th SIGIR Conference, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Cohen, J. Mamou, Y. Kanza, and Y. Sagiv. XSEarch: A semantic search engine for XML. In Proc. 29th VLDB Conference, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. N. Fuhr and K. Grosjohann. XIRQL: A query language for information retrieval in XML documents. In Proc. 24th SIGIR Conference, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. P. Grosso and D. Veillard. XML fragment interchange. W3C Candidate Recomendation 12 February 2001. http://www.w3.org/TR/xml-fragment.Google ScholarGoogle Scholar
  7. R. Guha, R. McCool, and E. Miller. Semantic search. In Proc. 12th WWW Conference, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. J. Heflin and J. Hendler. Searching the web with SHOE. In AAAI Workshop on AI for Web Search, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  9. B. Katz and J. Lin. Selectively using relations to improve precision in question answering. In Proc. EACL Workshop on NLP for QA, 2003.Google ScholarGoogle Scholar
  10. G. Kazai and M. Lalmas. INEX 2005 evaluation metrics. http://inex.is.informatik.uni-duisburg.de/2005/inex-2005-metricsv6.pdf.Google ScholarGoogle Scholar
  11. A. Levas, E. Brown, J. Murdock, and D. Ferrucci. The Semantic Analysis Workbench (SAW): Towards a framework for knowledge gathering and synthesis. In Proc. Int'l Conf. in Intelligence Analysis, 2005.Google ScholarGoogle Scholar
  12. R. Mack, S. Mukherjea, A. Soffer, N. Uramoto, E. Brown, A. Coden, J. Cooper, A. Inokuchi, B. Iyer, Y. Mass, H. Matsuzawa, , and L. V. Subramaniam. Text analytics for life science using the unstructured information management architecture. IBM Systems Journal, 43(3), 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. R. Mihalcea and D. Moldovan. Semantic indexing using WordNet senses. In Proc. ACL Workshop on IR and NLP, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. R. Mihalcea and D. Moldovan. Document indexing using named entities. Studies in Informatics and Control, 10(1), 2001.Google ScholarGoogle Scholar
  15. J. Prager, E. Brown, A. Coden, and D. Radev. Question-answering by predictive annotation. In Proc. 23rd SIGIR Conference, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. Prager, J. Chu-Carroll, E. Brown, and K. Czuba. Question answering using predictive annoation. In Advances in Open-Domain Question Answering. Kluwer Academic Publishers, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  17. M. Sanderson. Retrieving with good sense. Information Retrieval, 2(1), 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. Smeaton, R. O'Donnell, and F. Kelledy. Indexing structures derived from syntax in TREC-3: System description. In Proc. 3rd TREC, 1995.Google ScholarGoogle Scholar
  19. R. Srihari, W. Li, C. Nui, and T. Cornell. InfoXtract: A customizable intermediate level information extraction engine. Journal of Natural Language Engineering, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. J. Tiedemann. Integrating linguistic knowledge in passage retrieval for question answering. In Proc. HLT/EMNLP Conference, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. E. Voorhees. Using WordNet to disambiguate word sense for text retrieval. In Proc. SIGIR, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. E. Voorhees and H. Dang. Overview of the TREC 2005 question answering track. In Proc. TREC, 2006.Google ScholarGoogle Scholar
  23. J. Wiebe, T. Wilson, R. Bruce, M. Bell, and M. Martin. Learning subjective language. Computational Linguistics, 30(3), 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. H. Yu and V. Hatzivassilogou. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proc. EMNLP Conference, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Semantic search via XML fragments: a high-precision approach to IR

    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
      SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
      August 2006
      768 pages
      ISBN:1595933697
      DOI:10.1145/1148170

      Copyright © 2006 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: 6 August 2006

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      Overall Acceptance Rate792of3,983submissions,20%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader