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RDF and Contexts: Use of SPARQL and Named Graphs to Achieve Contextualization

Overview The very simple structure of the RDF data model and semantics can lead to a number of issues when more complex scenarios are supposed to be represented in RDF. Aspects such as temporary evolution of a knowledge base, relevance and trust require more than just a model that consists of a set of universally true statements, without any reference to a situation, a point in time, or generally a context. The solution proposed is to use the notion of context to separate statements that refer to different contextual information, which could so far not explicitly be tied to the statements because of the simplicity of RDF. The paper describes a practical solution to this problem, which has been implemented in the VIKEF project.

Further White Paper Details
Publisher	University of Trento	File Format	PDF
Date Published	April 2006
Format	White Papers
Topics	Knowledge and Data Management

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