A Knowledge-Based Assistant and Tutor for Managing Hazardous Waste

Abstract

The focus of our research is the efficient construction of large, multi-purpose knowledge bases. Initially, we focused on developing automated methods of building knowledge bases - this is critical for all future research on large knowledge bases. This lead to automated methods of building knowledge bases by the process of automatically composing together components. This work was awarded the Best Paper Award at the National Conference on Artificial Intelligence in July 97.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1997
Accession Number
ADA382394

Entities

People

  • Bruce Porter

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Classification
  • Complex Systems
  • Computational Complexity
  • Computational Linguistics
  • Computer Science
  • Computers
  • Data Mining
  • Hazardous Waste
  • Language
  • Linguistics
  • Monitoring
  • Reasoning
  • Students

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Technical Research and Report Writing.

Technology Areas

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