• DocumentCode
    167383
  • Title

    A Parallel Framework for Handling Non-determinism with Expressive Description Logics

  • Author

    Faddoul, Jocelyne ; MacCaull, Wendy

  • Author_Institution
    Centre for Logic & Inf., St. Francis Xavier Univ., Antigonish, NS, Canada
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    699
  • Lastpage
    708
  • Abstract
    Multicore processors are nowadays widespread across desktop, laptop, server, and even smartphone and tablets devices. The rise of such powerful execution environments calls for new parallel and distributed Description Logics (DLs) reasoning algorithms. Many sophisticated optimizations have been explored and have considerably enhanced DL reasoning with light ontologies. Non-determinism remains a main source of complexity for implemented systems handling ontologies relying on more expressive logics. In this work, we explore handling non-determinism with DL languages enabling qualified cardinality restrictions. We implement a fork/join parallel framework into our hybrid algebraic reasoner, which handles qualified cardinality restrictions and nominals using in-equation solving. Preliminary evaluation shows encouraging results.
  • Keywords
    computability; description logic; inference mechanisms; ontologies (artificial intelligence); process algebra; cardinality restriction; distributed description logic reasoning; expressive description logics; fork-join parallel framework; hybrid algebraic reasoner; multicore processors; nondeterminism; ontologies; parallel description logic reasoning; Cognition; Complexity theory; Ontologies; Parallel processing; Semantics; Standards; Syntactics; Description Logics; Non-determinism; Parallel Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-4799-4117-9
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2014.81
  • Filename
    6969451