Paper Info
Title
Tightly coupled fuzzy rough description logic programs under the answer set semantics for the semantic web
Abstract
The Semantic Web is an extension of the current World Wide Web, and aims to help computers to understand and process web information automatically. In recent years, the integration ontologies and rules has become a central topic in the Semantic Web. Therefore, significant research efforts have focused on integration description logic programs. However, description logic programs cannot well model a great deal of real-world problems because of the restriction of represented formalism. To address this problem, we further extend description logic programs such that they can deal with imprecise information, uncertain information and non monotonie reasoning at the same time. In this paper, we propose tightly coupled fuzzy rough description logic programs (or simply fuzzy rough dl-program) under the answer set semantics, which are tightly integrates fuzzy rough disjunctive programs under the answer set semantics with fuzzy rough description logics. To our knowledge, this is the first such approach. First of all, we define the syntax and semantics of fuzzy rough disjunctive logic programs, which is the rough extension of fuzzy disjunctive logic programs based on rough set theory. Then, we define the syntax and semantics of fuzzy rough dl-program. Finally, we show some semantic properties of fuzzy rough dl-program under the answer set semantics.
Year
DOI
Venue
2014
10.1109/FUZZ-IEEE.2014.6891558
FUZZ-IEEE
Keywords
Field
DocType
rough set theory,fuzzy set theory,world wide web,fuzzy rough description logic programs,description logic,semantic web,web information process,tightly coupled fuzzy rough description logic programs,rough extension,ontologies (artificial intelligence),fuzzy rough dlprogram,integration description logic programs,logic programming,answer set semantics,integration ontologies,description logics,central topic,fuzzy rough disjunctive logic programs,description logic programs,knowledge based systems,semantics,probabilistic logic,ontologies
Computational logic,T-norm fuzzy logics,Computer science,Fuzzy logic,Multimodal logic,Description logic,Rough set,Theoretical computer science,Stable model semantics,Semantic Web Rule Language
Conference
ISSN
Citations 
PageRank 
1544-5615
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Tingting Zou100.68
Yanpeng Qu2297.46
Ansheng Deng323.72