article

Proposal of two-stage patent retrieval method considering the claim structure

Authors:

Tadataka Matsubayashi,

Makoto Iwayama,

Tadaaki OshioAuthors Info & Claims

ACM Transactions on Asian Language Information Processing (TALIP), Volume 4, Issue 2

Pages 190 - 206

https://doi.org/10.1145/1105696.1105702

Published: 01 June 2005 Publication History

Abstract

The importance of patents is increasing in global society. In preparing a patent application, it is essential to search for related patents that may invalidate the invention. However, it is time-consuming to identify them among the millions of patents. This article proposes a patent-retrieval method that considers a claim structure for a more accurate search for invalidity. This method uses a claim text as input; it consists of two retrieval stages. In stage 1, general text analysis and retrieval methods are applied to improve recall. In stage 2, the top N documents retrieved in stage 1 are rearranged to improve precision by applying text analysis and retrieval methods using the claim structure. Our two-stage retrieval introduces five precision-oriented analysis and retrieval methods: query-term extraction from a portion of a claim text that describes the characteristics of a claim; query term-weighting without term frequency; query term-weighting with “measurement terms”; text retrieval using only claims as a target; and calculating the relevant score by “partially” adding scores in stage 2 to those in stage 1. Evaluation results using test sets of the NTCIR4 Patent Retrieval Task show that our methods are effective, though the degree of the effectiveness varies depending on the test sets.

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Cited By

Li HLi SJiang YZhao GAl Hasan MXiong L(2022)CoPatEProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557270(1104-1113)Online publication date: 17-Oct-2022
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Bashir SKhattak AAlshara M(2020)Automatically transforming full length biomedical articles into search queries for retrieving related articlesEgyptian Informatics Journal10.1016/j.eij.2020.04.004Online publication date: May-2020
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Index Terms

Proposal of two-stage patent retrieval method considering the claim structure
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Transactions on Asian Language Information Processing

ACM Transactions on Asian Language Information Processing Volume 4, Issue 2

June 2005

179 pages

ISSN:1530-0226

EISSN:1558-3430

DOI:10.1145/1105696

Issue’s Table of Contents

Copyright © 2005 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2005

Published in TALIP Volume 4, Issue 2

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Cited By

Li HLi SJiang YZhao GAl Hasan MXiong L(2022)CoPatEProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557270(1104-1113)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557270
Kumaravel GSankaranarayanan S(2021)PQPSMobile Information Systems10.1155/2021/24977702021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/2497770
Bashir SKhattak AAlshara M(2020)Automatically transforming full length biomedical articles into search queries for retrieving related articlesEgyptian Informatics Journal10.1016/j.eij.2020.04.004Online publication date: May-2020
https://doi.org/10.1016/j.eij.2020.04.004
Iwayama MFujii ANanba H(2020)Challenges in Patent Information RetrievalEvaluating Information Retrieval and Access Tasks10.1007/978-981-15-5554-1_4(49-69)Online publication date: 2-Sep-2020
https://doi.org/10.1007/978-981-15-5554-1_4
Milanez DFaria LAmaral RGregolin J(2017)Claim-based patent indicators: A novel approach to analyze patent content and monitor technological advancesWorld Patent Information10.1016/j.wpi.2017.08.00850(64-72)Online publication date: Sep-2017
https://doi.org/10.1016/j.wpi.2017.08.008
Bashir SRauber A(2017)Retrieval Models Versus RetrievabilityCurrent Challenges in Patent Information Retrieval10.1007/978-3-662-53817-3_7(185-212)Online publication date: 26-Mar-2017
https://doi.org/10.1007/978-3-662-53817-3_7
Bashir S(2016)An Improved Retrievability-Based Cluster-Resampling Approach for Pseudo Relevance FeedbackComputers10.3390/computers50400295:4(29)Online publication date: 15-Nov-2016
https://doi.org/10.3390/computers5040029
Sharma PTripathi RTripathi R(2016)Finding similar patents through semantic expansion2016 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI.2016.7479982(1-5)Online publication date: Jan-2016
https://doi.org/10.1109/ICCCI.2016.7479982
Kumar RTripathi RSingh V(2016)Keyword Based Search and its Limitations in the Patent Document to Secure the Idea from its InfringementProcedia Computer Science10.1016/j.procs.2016.02.08678:C(439-446)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.procs.2016.02.086
Kim YCroft WAllan JCroft Bde Vries AZhai C(2015)Improving Patent Search by Search Result DiversificationProceedings of the 2015 International Conference on The Theory of Information Retrieval10.1145/2808194.2809455(201-210)Online publication date: 27-Sep-2015
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