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

  • Fu-Ren Lin
  • Ke-Ren Chen
  • Szu-Yin Lin
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


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.


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.


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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

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