• DocumentCode
    3139879
  • Title

    Character and document research in the Open Mind Initiative

  • Author

    Stork, David G.

  • Author_Institution
    Ricoh Silicon Valley, Menlo Park, CA, USA
  • fYear
    1999
  • fDate
    20-22 Sep 1999
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    We describe the Open Mind Initiative, a framework for large scale collaborative efforts in building components of “intelligent” systems that address common sense reasoning, document and language understanding, speech and character recognition, and so on. Based on the Open Source methodology, the Open Mind Initiative allows domain specialists to contribute algorithms, tool developers to provide software infrastructure and tools, and non specialist “e-citizens” to contribute training data and information to large databases. An important challenge is to make it easy and rewarding for e-citizens to provide such information. The paper illustrates the initiative through several demonstration projects of modest scale, including some related to character and document problems, and identifies general challenges and opportunities
  • Keywords
    character recognition; common-sense reasoning; database management systems; document handling; knowledge based systems; speech recognition; Open Mind Initiative; Open Source methodology; character recognition; common sense reasoning; document problems; document research; domain specialists; e-citizens; intelligent systems; language understanding; large databases; large scale collaborative efforts; software infrastructure; tool developers; training data; Character recognition; Collaboration; Databases; Large-scale systems; Natural languages; Open source software; Software algorithms; Software tools; Speech; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    0-7695-0318-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1999.791712
  • Filename
    791712