• DocumentCode
    2191852
  • Title

    SIMPLE: Interactive Analytics on Patent Data

  • Author

    Spangler, Scott ; Chen, Ying ; Kreulen, Jeffrey ; Boyer, Stephen ; Griffin, Thomas ; Alba, Alfredo ; Kato, Linda ; Lelescu, Ana ; Yan, Su

  • Author_Institution
    Almaden Res. Center, IBM, San Jose, CA, USA
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    426
  • Lastpage
    433
  • Abstract
    Intellectual Properties (IP), such as patents and trademarks, are one of the most critical assets in today´s enterprises and research organizations. They represent the core innovation and differentiators of an organization. When leveraged effectively, they not only protect freedom of action, but also generate significant opportunities in licensing, execution, long term research and innovation. In this paper, we expand upon a previous paper describing a solution called SIMPLE, which mines large corpus of patents and scientific literature for insights. In this paper we focus on the interactive analytics aspects of SIMPLE, which allow the analyst to explore large unstructured information collections containing mixed information in a dynamic way. We use real-world case studies to demonstrate the effectiveness of interactive analytics in SIMPLE.
  • Keywords
    business data processing; data analysis; data mining; law; patents; SIMPLE; enterprises organization; intellectual properties; interactive analytics; patent data mining; patents corpus mining; research organization; Patent mining; bioinformatics; patent analytics; text analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.188
  • Filename
    5693329