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