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The Role of Massive Memory In Knowledge-Base Management Systems

  • Richard Cullingford
  • Hector Garcia-Molina
  • Richard Lipton
Part of the Topics in Information Systems book series (TINF)

Abstract

The Knowledge-Base Management Systems of the future will certainly require high performance hardware to cope with the substantial processing and data storage requirements. Many researchers have associated this “high performance hardware” with highly parallel computers (i.e., machines with large numbers of processing elements). In this paper we argue that this may not be the only choice. A computer with a single, high-performance processor and with massive amount of physical main memory, say on the order of tens of billions of bytes, may be especially well suited for some KBMS functions, and may vastly outperform parallel machines (with more limited memory). In this paper we outline the applications of such a machine, discussing its strengths and limitations.

Keywords

Main Memory Belief Revision Word Sense Lexicon Learning Parallel Processor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1986

Authors and Affiliations

  • Richard Cullingford
  • Hector Garcia-Molina
  • Richard Lipton
    • 1
  1. 1.Department of Electrical Engineering and Computer SciencePrinceton UniversityPrincetonUSA

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