DocumentCode :
2303994
Title :
Querying fuzzy RDFS semantic annotations
Author :
Bahri, Afef ; Bouaziz, Rafik ; Gargouri, Faïez
Author_Institution :
MIRACL Lab., Univ. of Sfax, Sfax, Tunisia
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
The Semantic Web is an infrastructure that enables the interchange, the integration and the reasoning about information on the Web. In the Semantic Web, the resources are described using particular metadata called “Semantic annotations”. A semantic annotation is a particular case of annotation which refers to ontology. The Web content is, for the most part, subject to uncertainty or imperfection. If many extensions of ontology languages have been proposed to deal with fuzzyness on the Semantic Web, the problem of fuzzy ontology querying is not well treated. We propose in this paper a fuzzy extension of the RDFS model. We propose a new query language named FSAQL to query fuzzy RDFS semantic annotations. We define the syntax and the semantics of this language and the way to evaluate it.
Keywords :
fuzzy reasoning; meta data; ontologies (artificial intelligence); query formulation; semantic Web; Web content; fuzzy ontology querying; metadata; ontology languages; query fuzzy RDFS semantic annotations; semantic Web; Database languages; Ontologies; Resource description framework; Semantics; Syntactics; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584136
Filename :
5584136
Link To Document :
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