Re: [unrev-II] Towards an Atomic Data Structure

From: Sandy Klausner (
Date: Mon Apr 24 2000 - 09:03:07 PDT

  • Next message: Adam Cheyer: "RE: [unrev-II] Eric's Summary [edited]"

    >It would be helpful to see a mock up and/or scenario of how this capability
    >would be used to perform daily work, like write some code, conduct a
    >meeting, make a phone call, read a book, design a computer chip, fix the
    >car, go to the dentist, the normal activity people use "intelligence" to
    >support in generating knowledge about the world that might be useful in a

    >There has been consideration for the DKR team to create a tool to help
    >software engineering. The things you describe today seem like they might
    >be useful for that task, but also help other tasks, as well. Does this
    >suggest that augmenting "intelligence", which you mention elsewhere,
    >provides an underlying capability that can help everyone do almost anything
    >a little better?


    The DKR team has identified two distinct levels of information abstraction
    that require development to achieve the group's goals. The underlying
    abstraction appears to be based upon a general system cognitive model based
    upon deterministic behavior that can machine execute. This technology model
    could be used as a foundation to design and implement "An interactive tool
    for discussion and *deliberation* that records decisions and their
    rationales in a way that allows the knowledge gained in the process to be
    applied to future projects."

    To fully achieve the interactive tool goal, the fundamental capabilities in
    the underlying technology model must include a robust way to traverse, edit,
    read, and write untyped text. In addition, there needs to be a way to
    intelligently analyze the text in interesting ways to determine fundamental
    semantics in the symbolic patterns and link these patterns to other passages
    to anywhere in the web. This text may be linked to typed atomic data that
    may itself be composed into typed molecular data representing pictures,
    sounds, and other rich multimedia information. All this information may
    itself exist as part of a data structure within a domain object within a

    The SGML community has a long history of developing ways to markup documents
    to capture semantic knowledge embedded in strings. As processing
    requirements become more sophisticated, new ways of managing this complexity
    need to be developed. One possible solution is to move to a clear document
    model. This model separates concerns by parsing the clear text from the
    markup information. The clear text is parsed into a collection of linked
    character nodes, while one or more composite structure processors maintain
    position and range links into the clear text collection. Each processor may
    have specialized behavior to analyze and hold semantic information on
    format, organization, navigation, narrative, reference, graphic control,
    publication, and filters. The model must be able to allow clear text editing
    while automatically maintaining the processor links into the clear text
    collection. Such a model would be able to manage the requirements for a
    robust DKR environment.

    Sandy Klausner, CTO
    Cubicon Technologies Corporation
    (408) 867-1100

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