• DocumentCode
    3119783
  • Title

    Searching Contexts in Rough Description Logics

  • Author

    Viana, Henrique ; Alcantara, Joao ; Martins, Ana Teresa

  • Author_Institution
    Dept. de Comput., Univ. Fed. do Ceare, Fortaleza, Brazil
  • fYear
    2013
  • fDate
    19-24 Oct. 2013
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    In this paper, we present a method to obtain optimized query refinements of assertion axioms in the Rough Description Logic ALC. This method is based on the notion of discernibility matrix commonly used in the process of attributes reduction in the rough set theory. It consists of finding sets of concepts which satisfy the rough set approximation operations in assertion axioms. Consequently, these sets of concepts can be used to restrict or relax queries in this logic. We propose two algorithms to settle this problem of query refinement and show their complexity results.
  • Keywords
    approximation theory; formal logic; query processing; rough set theory; ALC; assertion axioms; attributes reduction; context search; discernibility matrix notion; optimized query refinements; query relaxation; query restriction; rough description logics; rough set approximation operations; rough set theory; Approximation algorithms; Approximation methods; Cognition; Complexity theory; Context; Knowledge based systems; Silicon; Description Logics; Query Refinement; Rough Sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (BRACIS), 2013 Brazilian Conference on
  • Conference_Location
    Fortaleza
  • Type

    conf

  • DOI
    10.1109/BRACIS.2013.35
  • Filename
    6726443