• Title of article

    Finding Nuggets in Patent Portfolios: Core Patent Mining and Its Applications

  • Author/Authors

    Hu, Po Tsinghua University - Department of Computer Science and Technology, China , Huang, Minlie Tsinghua University - Department of Computer Science and Technology, China , Zhu, Xiaoyan Tsinghua University - Department of Computer Science and Technology, China

  • From page
    339
  • To page
    352
  • Abstract
    Patents are critically important for a company to protect its core business concepts and proprietarytechnologies. Effective patent mining in massive patent databases not only provides business enterprises with valuable insights to develop strategies for research and development, intellectual property management, and product marketing, but also helps patent offices to improve efficiency and optimize their patent examination processes. This paper describes the patent mining problem of automatically discovering core patents (i.e., novel and influential patents in a domain). In addition, the value of core patent mining is illustrated by revealing the potential competitive relationships among companies in their core patents. The work addresses the unique patent vocabulary usage which is not considered in traditional word-based statistical methods with a topic-based temporal mining approach that quantifies a patent’s novelty and influence through topic activeness variations. Tests of this method on real-world patent portfolios show the effectiveness of this approach over state-of-the-art methods.
  • Keywords
    text mining , core patent , patent novelty , patent influence , company competitor
  • Journal title
    Tsinghua Science and Technology
  • Journal title
    Tsinghua Science and Technology
  • Record number

    2535551