KQML-Accessible, High-Performance, Massive Knowledge Bases.

Abstract

We have begun porting the SIMD Parka system to more generic MIMD machines. The system has been recoded in C and supported using runtime optimization packages developed in the high performance computing laboratory at Maryland. New 'scanning' algorithms have been developed for inheritance and recognition inferences. These algorithms have been tested with both random networks and on a recoding of the ontology of the CYC knowledge base. Tests show that the new version is significantly faster than the SIMD system, and that it promises to scale well to knowledge bases orders of magnitude larger than CYC.

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Document Details

Document Type
Technical Report
Publication Date
Jun 29, 1995
Accession Number
ADA307193

Entities

People

  • James Hendler
  • Joel Saltz

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Evolutionary Algorithms
  • Heuristic Methods
  • High Performance Computing
  • Maryland
  • Mathematics
  • Ontologies
  • Optimization
  • Recognition
  • Scanning

Readers

  • Artificial Intelligence
  • Parallel and Distributed Computing.
  • Research Science/Academic Research

Technology Areas

  • AI & ML