A Hybrid Patent Prior Art Retrieval Approach Using Claim Structure and Description

Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

In the highly competitive business environment, companies use patents as the intellectual asset to gain strategic competiveness. Patent prior art retrieval is a nontrivial task for invalidity and patentability search, which could help enterprises to plan their R&D strategies, patent portfolio, and avoid patent infringement issues in the future. This study adopts an efficient and effective hybrid patent prior art retrieval approach using claim structure and patent description to enhance prior art retrieval performance in terms of recall rate and exam the robustness through performing experiments in a large dataset. We obtained the best result by combining the information of claim structure and top 70 % sentences in description. We have achieved the competitive result in terms of raising the recall rate with the proposed hybrid approach, which also demonstrated the usefulness of including claim structure into patent prior art retrieval system.

Keywords

Noun Phrase Recall Rate Cosine Similarity Patent Document Good Parameter Setting 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Yoon B (2004) and y Park, A text-mining-based patent network: Analytical tool for high-technology trend. J High Technol Manage Res 15:37–50CrossRefGoogle Scholar
  2. 2.
    Kazenske ER (2003) The future of prior art searching at the United States patent and trademark office. World Patent Inf 25:283–287CrossRefGoogle Scholar
  3. 3.
    Kang IS, Na SH, Kim J, Lee JH (2007) Cluster-based patent retrieval. Inf Process Manage 43:1173–1182CrossRefGoogle Scholar
  4. 4.
    Verberne V, D’hondt E (2010) Prior art retrieval using the claims section as a bag of words. Multilingual information access evaluation I. Text Retrieval Exp 6241:497–501Google Scholar
  5. 5.
    Fujii A (2007) Enhancing patent retrieval by citation analysis. In: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval, ACM, Amsterdam, pp 793–794Google Scholar
  6. 6.
    Szarvas G, Herbert B, Gurevych I (2009) Prior art search using international patent classification codes and all-claims-queries. In: Proceedings of the 10th cross-language evaluation forum conference on multilingual information access evaluation: text retrieval experiments Corfu, Springer, Greece, pp 452–459Google Scholar
  7. 7.
    Lin F, Huang F (2010) The study of patent prior art retrieval using claim structure and link analysis. In: Proceedings of the 14th Pacific Asia conference on information systems (PACIS), Taipei, TaiwanGoogle Scholar
  8. 8.
    Yu CC (2008) Use of Text Summarization Technique for Supporting Patent Prior Art Retrieval. Master thesis, National Tsing Hua University, HsinChuGoogle Scholar
  9. 9.
    Tseng YH, Lin CJ, Lin YI (2007) Text mining techniques for patent analysis. Inf Process Manage 43:1216–1247CrossRefGoogle Scholar
  10. 10.
    Lai KK, Wu SJ (2005) Using the patent co-citation approach to establish a new patent classification system. Inf Process Manage 41:313–330CrossRefGoogle Scholar
  11. 11.
    Chen RC (2008) The study of searching relevant patents of multi-disciplinary products based on patent claim structure. Master Thesis of National Tsing Hua University, HsinChuGoogle Scholar
  12. 12.
    Ratnaparkhi A (1999) Learning to parse natural language with maximum entropy models. Mach Learn 34:151–175CrossRefMATHGoogle Scholar
  13. 13.
    Graf E, Azzopardi L (2008) A methodology for building a patent test collection for prior art search. In: The second international workshop on evaluating information access (EVIA), TokyoGoogle Scholar
  14. 14.
    Sheremetyeva S (2009) An efficient patent keyword extractor as translation resource. In: Proceedings of the 3rd workshop on patent translation in conjunction with MT-Summit XII, OttawaGoogle Scholar
  15. 15.
    Mase H, Matsubayashi T, Ogawa Y, Iwayama M, Oshio T (2005) Proposal of two-stage patent retrieval method considering the claim structure. ACM Trans Asian Lang Inf Process (TALIP) 4:190–206CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Institute of Service ScienceNational Tsing Hua UniversityHsinchu CityTaiwan
  2. 2.Institute of Technology ManagementNational Tsing Hua UniversityHsinchu CityTaiwan
  3. 3.Department of Information ManagementChung Yuan Christian UniversityZhongli CityTaiwan

Personalised recommendations