• DocumentCode
    2357998
  • Title

    TROJAN: a scalable distributed semantic network system

  • Author

    Lee, Chain-Wu ; Huang, Chun-Hsi ; Rajasekaran, Sanguthevar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., State Univ. of New York, New York, USA
  • fYear
    2003
  • fDate
    3-5 Nov. 2003
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    This paper describes a new parallel semantic network system, the TROJAN. Unlike the synchronous and static marker passing algorithm previously used for parallel semantic network design, the TROJAN operates asynchronously, supporting knowledge sharing, dynamic load balancing and duplicate checking. Current implementation of the TROJAN focuses on path-based knowledge inferences, using ANSI C and the MPICH-G2 with flex lexical analyzer and the yacc parser generator. The performance tests have been carried out on a local Grid, consisting of three heterogeneous systems: a SUN Cluster, an SGI Origin 3800, and a Dell Pentium cluster. The experiments demonstrate promising speedups.
  • Keywords
    computational complexity; inference mechanisms; resource allocation; semantic networks; ANSI C; Dell Pentium cluster; MPICH-G2; NP-hardness; SGI Origin 3800; SUN cluster; TROJAN; duplicate checking; dynamic load balancing; flex lexical analyzer; knowledge inference; knowledge sharing; local grid; parallel networks; performance test; scalable distributed semantic network; semantic network design; static marker passing algorithm; synchronous marker passing algorithm; yacc parser generator; Algorithm design and analysis; Computer science; Inference algorithms; Inference mechanisms; Knowledge representation; Load management; Natural languages; Spine; Sun; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2038-3
  • Type

    conf

  • DOI
    10.1109/TAI.2003.1250194
  • Filename
    1250194