• DocumentCode
    707403
  • Title

    EHCPRs system as an ontology learning system

  • Author

    Jain, Sarika ; Jain, N.K. ; Mishra, Sanju

  • Author_Institution
    Dept. of Comput. Applic., Nat. Inst. of Technol., Kurukshetra, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    978
  • Lastpage
    984
  • Abstract
    In the creation of common sense knowledge base major information contents are the ontology of classes; instances and individuals; parts, properties, and materials of objects; functions and uses of objects; location, duration, post and preconditions of events; behavior; emotions; strategies; and context. To accommodate all these concepts in a single unit, a robust system is required incorporating the knowledge representation, learning and also reasoning. This paper presents the Extended Hierarchical Censored Production Rules (EHCPRs) System as an Ontology Learning System and a general exchange language for ontologies. An EHCPR as a unit of knowledge will serve as the concept in the ontology learned.
  • Keywords
    learning (artificial intelligence); ontologies (artificial intelligence); production engineering computing; EHCPR system; extended hierarchical censored production rules; general exchange language; ontology learning system; Cognition; Knowledge based systems; OWL; Ontologies; Semantics; Unified modeling language; EHCPRs System; Knowledge Representation; Ontology Language; Ontology Learning; Unit of Knowledge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100393