skip to main content
10.1145/2064975.2064985acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
research-article

The status of retrieval evaluation in the patent domain

Authors Info & Claims
Published:24 October 2011Publication History

ABSTRACT

This paper is a result of the experience of the past three years in organizing evaluation campaigns for the patent domain. However, its aim is not really to give an account of what has been done in such evaluation campaigns, but rather to explore what has not been done. It also aims to convince all participants in this process, that we must have a more rigorous way of testing systems and system components. The efforts of the scientists, while being very narrow in the scope of each individual evaluation exercise, are still the most reliable way of comparing system components. Yet they fail to translate into an informative and comprehensible message for the users. I therefore propose a Patent Retrieval Tool Evaluation Map (PRET-EVAL map), to help all participants visualise the focus of each evaluation exercise.

References

  1. http://www.wallwisher.com/wall/patentEvaluation.Google ScholarGoogle Scholar
  2. S. Adams. The text, the full text and nothing but the text: Part 1 - standards for creating textual information in patent documents and general search implications. World Patent Information, 32(1):22--29, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Adams. The text, the full text and nothing but the text: Part 2 - standards for creating textual information in patent documents and general search implications. World Patent Information, 32(2), 2010.Google ScholarGoogle Scholar
  4. D. Alberts, C. B. Yang, D. Fobare-DePonio, K. Koubek, S. Robins, M. Rodgers, E. Simmons, and D. DeMarco. Current Challenges in Patent Information Retrieval, chapter 1 : Introduction to Patent Searching - Practical Experience and Requirements for Searching the Patent Space. Springer Verlag, 2011.Google ScholarGoogle Scholar
  5. M. Annies. Full-text prior art and chemical structure searching in e-journals and on the internet - a patent information professional's perspective. World Patent Information, 31(4):278--284, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  6. C. Buckley, M. Smucker, and M. Lease. Relevance feedback track at trec 2009 http://trec.nist.gov/data/relevance.feedback09.html.Google ScholarGoogle Scholar
  7. B. Carterette, E. Kanoulas, M. Sanderson, and P. Clough. Trec 2011 session track http://ir.cis.udel.edu/sessions/index.html.Google ScholarGoogle Scholar
  8. CERN. Worldwide lhc computing grid http://public.web.cern.ch/public/en/lhc/computing-en.html.Google ScholarGoogle Scholar
  9. Y. Chang, C. Cirillo, and J. Razon. Evaluation of feedback retrieval using modified freezing, residual collection & test and control groups. In G.Salton, editor, The SMART retrieval system - experiments in automatic document processing. Prentice Hall, 1971.Google ScholarGoogle Scholar
  10. C. Emmerich. Comparing first level patent data with value-added patent information: A case study in the pharmaceutical field. World Patent Information, 31(2):117--122, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  11. N. Kando and M.-K. Leong. Workshop on patent retrieval (sigir 2000 workshop report). SIGIR Forum, 34(1):28--30, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. M. Lupu, J. Huang, J. Zhu, and J. Tait. TREC Chemical Information Retrieval - An Evaluation Effort for Chemical IR Systems. WPI Journal, 2011.Google ScholarGoogle Scholar
  13. OCLC. Dewey decimal classification. http://www.oclc.org/dewey/default.htm, 2011.Google ScholarGoogle Scholar
  14. F. Piroi and J. Tait. Clef-ip 2010: Retrieval experiments in the intellectual property domain. In Proc. of CLEF, 2010.Google ScholarGoogle Scholar
  15. M. Sanderson, M. L. Paramita, P. Clough, and E. Kanoulas. Do User Preferences and Evaluation Measures Line Up? In Proc. of SIGIR, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. J. Tait, M. Lupu, H. Berger, G. Roda, M. Dittenbach, A. Pesenhofer, E. Graf, and K. van Rijsbergen. Patent Search: An Important New Test Bed for IR. In Proc. of the Dutch-Belgian Information Retrieval Workshop, 2009.Google ScholarGoogle Scholar
  17. A. Trippe and I. Ruthven. Current Challenges in Patent Information Retrieval, chapter 6 : Evaluating Real Patent Retrieval Effectiveness. Springer Verlag, 2011.Google ScholarGoogle Scholar
  18. E. Voorhees and D. Harman, editors. TREC Experiment and Evaluation in Information Retrieval. MIT Press, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. The status of retrieval evaluation in the patent domain

      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
        PaIR '11: Proceedings of the 4th workshop on Patent information retrieval
        October 2011
        46 pages
        ISBN:9781450309554
        DOI:10.1145/2064975

        Copyright © 2011 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: 24 October 2011

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate7of13submissions,54%

        Upcoming Conference

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader