The Resource Description Framework (RDF) is a graphbased data model promoted by the W3C as the standard for Semantic Web applications. Its associated query language is SPARQL. RDF graphs are often large and varied, produced in a variety of contexts, e.g., scientific applications, social or online media, government data etc. They are heterogeneous, i.e., resources described in an RDF graph may h...

This paper explains how to evaluate and analyse inconsistent Resource Description Framework (RDF) data by using EMAGE semantic (RDF) dataset as its use case. The author exploits the sub graph matching powers and mathematical functions of SPARQL query in evaluating inconsistent RDF data in a semantic dataset. He also proposes a mathematical method for calculating the amount of inconsistency in R...

The Linked Data (LD) initiative fostered the publication of a large number of relational databases in the Linked Open Data (LOD) cloud. A general and flexible way of publishing relational data in RDF format is to create an RDF view of the underlying relational data (RDB-RDF view). An RDB-RDF view can be materialized to improve query performance and data availability. However, an RDB-RDF view mu...

RDF is a knowledge representation language dedicated to the annotation of resourceswithin the framework of the semantic web. Among the query languages for RDF, SPARQLallows querying RDF through graph patterns, i.e., RDF graphs involving variables. Otherlanguages, inspired by the work in databases, use regular expressions for searching pathsin RDF graphs. Each approach can expres...

This paper deals with RDF (Resource Description Framework). The main point is to present a general model describing when and how to exploit RDF technology. It is suggested that RDF(S) 1 functions best as a means to provide mechanisms for expressing contextual and case-specific information. In other words, RDF(S) is suitable for providing different views into a single extensive ontology, rather ...