Knowledge Based Collaboration Webs

Abstract

The Knowledge Based Collaboration Web (KBCW) project at the MIT Artificial Intelligence Laboratory (AI) exploited representations and techniques used in AI for research and development of a platform and tools to support collaboration. A KBCW consists of nodes and links, where nodes represent a document, or a fragment of a document with a coherent prepositional content and links represent relationships between the nodes. Both the nodes and links are made accessible to clients via its Universal Resource Name (URN) which serves as a location independent identifier for the World Wide Web. A KBCW represents a set of logical statements summarizing the content of the documents as well as the relationships among the contents of the documents. The particular focus of this project was on face-to-face and remote collaborative processes in the creation of knowledge products, like software and military security intelligence. The scope included tools for a) managing the collaborative interactions, b) representing parts and relationships in the cumulative knowledge product, and c) the enhancement of smart spaces/intelligent rooms for support of collaborative meetings and capture of contents.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA412519

Entities

People

  • Howard Elliot Shrobe

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Text Summarization
  • Bayesian Networks
  • Computational Science
  • Computer Languages
  • Computer Networks
  • Computer Programming
  • Computer Science
  • Computers
  • Computing Devices
  • Digital Communications
  • Lisp Programming Language
  • Natural Language Processing
  • Network Architecture
  • Software Design
  • Teamwork
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Space