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Parallel architectures for AI semantic network processing

Published: 01 December 1988 Publication History

Abstract

Artificial intelligence (AI) applications are growing in several fields, and in many such applications knowledge bases must be manipulated. This activity is usually performed by an external agent such as a central processor, but often this cannot supply the speed required. Knowledge-oriented architectures provide an efficient execution of knowledge manipulations. This paper provides an introduction to a particular subset of knowledge-oriented architectures, the semantic network approach, which is one of the most commonly used methods of representing and manipulating knowledge in the AI field. A brief overview of the semantic network components is presented in order to provide a background to the topic. The purpose of this paper is to review the proposed, implemented and/or simulated architectures for semantic network processing, and to discuss the capabilities and limitations of such architectures.

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    Published In

    cover image Knowledge-Based Systems
    Knowledge-Based Systems  Volume 1, Issue 5
    December 1988
    88 pages
    ISSN:0950-7051
    • Editors:
    • H. Fujita,
    • J. Lu
    Issue’s Table of Contents

    Publisher

    Elsevier Science Publishers B. V.

    Netherlands

    Publication History

    Published: 01 December 1988

    Author Tags

    1. artificial intelligence
    2. knowledge-oriented systems
    3. parallel computers
    4. semantic networks

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