Simple vs. Sophisticated Approaches for Patent Prior-Art Search

  • Walid Magdy
  • Patrice Lopez
  • Gareth J. F. Jones
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6611)


Patent prior-art search is concerned with finding all filed patents relevant to a given patent application. We report a comparison between two search approaches representing the state-of-the-art in patent prior-art search. The first approach uses simple and straightforward information retrieval (IR) techniques, while the second uses much more sophisticated techniques which try to model the steps taken by a patent examiner in patent search. Experiments show that the retrieval effectiveness using both techniques is statistically indistinguishable when patent applications contain some initial citations. However, the advanced search technique is statistically better when no initial citations are provided. Our findings suggest that less time and effort can be exerted by applying simple IR approaches when initial citations are provided.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Lopez, P., Romary, L.: Experiments with citation mining and key-term extraction for Prior Art Search. In: Proceedings of CLEF 2010 (2010)Google Scholar
  2. 2.
    Magdy, W., Jones, G.J.F.: PRES: a score metric for evaluating recall-oriented information retrieval applications. In: SIGIR 2010 (2010)Google Scholar
  3. 3.
    Magdy, W., Jones, G.J.F.: Applying the KISS Principle for the CLEF-IP 2010 Prior Art Candidate Patent Search Task. In: Proceedings of CLEF 2010 (2010)Google Scholar
  4. 4.
    Piroi, F.: CLEF-IP 2010: Retrieval Experiments in the Intellectual Property Domain. In: Proceedings of CLEF 2010 (2010)Google Scholar
  5. 5.
    Roda, G., Tait, J., Piroi, F., Zenz, V.: CLEF-IP 2009: Retrieval experiments in the intellectual property domain. In: Peters, C., Di Nunzio, G.M., Kurimo, M., Mostefa, D., Penas, A., Roda, G. (eds.) CLEF 2009. LNCS, vol. 6241, pp. 385–409. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  6. 6.
    Strohman, T., Metzler, D., Turtle, H., Croft, W.B.: Indri: A language model-based search engine for complex queries. In: Proceedings of ICIA (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Walid Magdy
    • 1
  • Patrice Lopez
    • 2
  • Gareth J. F. Jones
    • 1
  1. 1.CNGL, School of ComputingDublin City UniversityDublinIreland
  2. 2.INRIA & Humboldt Universitat zu BerlinGermany

Personalised recommendations