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Finding Novel Patents Based on Patent Association

  • Ling Feng
  • Zhiyong Peng
  • Bin Liu
  • Dunren Che
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8485)

Abstract

Patent retrieval is critical for technological researches, inventions, and innovative entrepreneurship. There exist a lot of methods for patent retrieval, which usually merely find relevant patents. As a result, outdated patents are frequently found and even ranked ahead of more interesting ones in the result list. However, in most cases, enterprisers and researchers only concern cutting-edge techniques and research results. Novelty-based patent retrieval thus becomes extremely important nowadays. In this paper, we propose an innovative patent finding method that exploits the broad associations between patents. More specifically in this paper, a new concept of patent novelty is first introduced and a novel ranking algorithm is then proposed for proper ranking of patents. Following that, in order to handle rank variations caused by the arrival of new patents, an efficient rank-update algorithm is designed. We have done extensive experimental study that well shows the effectiveness and the efficiency of our proposed method.

Keywords

patent novelty patent association comparative novelty rate 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ling Feng
    • 1
  • Zhiyong Peng
    • 1
  • Bin Liu
    • 1
  • Dunren Che
    • 2
  1. 1.Computer SchoolWuhan UniversityWuhanP.R. China
  2. 2.Dept. of Computer ScienceSouthern Illinois UniversityCarbondaleUSA

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