• DocumentCode
    2125991
  • Title

    Patent Service Self-Organizing Maps

  • Author

    Segev, Aviv ; Kantola, Jussi

  • Author_Institution
    Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    839
  • Lastpage
    844
  • Abstract
    Patent users such as government, inventors, and manufacturing organizations strive to identify the directions in which the new technology is advancing. The organization of patent knowledge in maps aims at outlining the boundaries of existing knowledge. A model based on knowledge extraction from patents and self-organizing maps for knowledge representation is presented. The model was tested on patents from the United States Patent and Trademark Office. The experiments show promising results in classifying main directions of patent development.
  • Keywords
    government; knowledge acquisition; patents; self-organising feature maps; trademarks; United States Patent and Trademark Office; government; inventors; knowledge extraction; manufacturing organizations; patent service self-organizing maps; Context; Feature extraction; Knowledge representation; Neurons; Patents; Self organizing feature maps; Semantics; Decision Support; Knowledge Engineering; Patent Service; Self-Organizing Maps;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-61284-427-5
  • Electronic_ISBN
    978-0-7695-4367-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2011.146
  • Filename
    5945345