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- W4297695964 abstract "AbstractInformation is often imprecise and uncertain in many real-world applications, and thus fuzzy data modeling has been extensively investigated in various database models as introduced in Chap. 2. RDF is a flexible model for representing information about resources on the Web and has been applied in many application areas. Unfortunately, RDF is not able to represent and process imprecise and uncertain data. To represent and manage the imprecise and uncertain data, Zadeh’s fuzzy set theory has been introduced into RDF to extend RDF such that uncertain and imprecise information can be represented and manipulated. In this chapter, we introduce the basics of the theory of fuzzy RDF data model. We start by considering the fuzzy RDF model. We provide a syntax and a semantics for this model, study some basic notions of the fuzzy RDF data model. We then move into the formal definition of fuzzy RDF Schema (RDFS). Along with the fuzzy RDF model, a fuzzy RDF algebra is formally proposed and a set of algebraic operations are developed. We also present some algebraic equivalences based on data graph isomorphism which can be used to rewrite algebra expressions in a form that satisfies certain needs. Finally, we show how to apply the proposed algebraic operations to capture the queries expressed in SPARQL query language." @default.
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- W4297695964 date "2022-01-01" @default.
- W4297695964 modified "2023-09-26" @default.
- W4297695964 title "Fuzzy RDF Modeling" @default.
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- W4297695964 doi "https://doi.org/10.1007/978-3-031-11669-8_3" @default.
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