Magdy, Walid, Lopez, Patrice and Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 (2011) Simple vs. sophisticated approaches for patent prior-art search. In: Advances in Information Retrieval - ECIR 2011, 18-21 April 2011, Dublin, Ireland.
Abstract
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.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | prior-art; patent; prior-art patent searching |
Subjects: | Computer Science > Information retrieval |
DCU Faculties and Centres: | Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | Advances in Inofrmation Retrieval. Lecture Notes in Computer Science 6611. Springer-Verlag. |
Publisher: | Springer-Verlag |
Official URL: | http://www.springerlink.com/content/e5344xg1x2231m... |
Copyright Information: | © 2011 Springer-Verlag. The original publication is available at www.springerlink.com |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 16396 |
Deposited On: | 29 Jun 2011 14:06 by Shane Harper . Last Modified 25 Oct 2018 10:15 |
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