Accession Number : ADA307193
Title : KQML-Accessible, High-Performance, Massive Knowledge Bases.
Descriptive Note : Annual technical rept. no. 1, 1 Jul 94-30 Jun 95,
Corporate Author : MARYLAND UNIV COLLEGE PARK DEPT OF COMPUTER SCIENCE
Personal Author(s) : Hendler, James ; Saltz, Joel
PDF Url : ADA307193
Report Date : 29 JUN 1995
Pagination or Media Count : 13
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.
Descriptors : *KNOWLEDGE BASED SYSTEMS, DATA BASES, ALGORITHMS, NEURAL NETS, OPTIMIZATION, SYSTEMS ENGINEERING, DATA MANAGEMENT, DISTRIBUTED DATA PROCESSING, COMPUTER COMMUNICATIONS, INTEROPERABILITY, PERFORMANCE(ENGINEERING), INPUT OUTPUT PROCESSING, PARALLEL PROCESSING, PARALLEL PROCESSORS, PATTERN RECOGNITION, SYSTEMS ANALYSIS, DATA LINKS, COMPILERS, C PROGRAMMING LANGUAGE.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE