Title :
Fuzzy RDF: A data model to represent fuzzy metadata
Author :
Lv, Yanhui ; Ma, Z.M. ; Yan, Li
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
Resource description framework (RDF) together with RDF schema (RDFS) is important semantic Web standards proposed from W3C. RDF is a knowledge representation language to deal with hard semantics in the description and manipulation of crisp metadata. However, information is often vague or ambiguous. Many metadata are fuzzy by nature, and the Semantic Web should be capable to represent fuzzy data. In this paper, a fuzzy RDF data model is presented including fuzzy RDF syntax and fuzzy RDF semantics. A distinctive feature of fuzzy RDF data model, which is based on fuzzy logic theory, is able to deal with special data whose values are no more crisp values, but may be a fuzzy set.
Keywords :
data structures; fuzzy logic; fuzzy set theory; meta data; semantic Web; fuzzy RDF; fuzzy logic theory; fuzzy metadata; knowledge representation language; resource description framework; semantic Web standards; Data models; Fuzzy systems; Resource description framework;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630561