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
Link To Document :
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