Detect redundant RDF data by rules

Abstract

The development and standardization of semantic web technologies have resulted in an unprecedented volume of RDF datasets being published on the Web. However, data quality exists in most of the information systems, and the RDF data is no exception. The quality of RDF data has become a hot spot of Web research and many data quality dimensions and metrics have been proposed. In this paper, we focus on the redundant problem in RDF data, and propose a rule based method to find and delete the semantic redundant triples. By evaluating the existing datasets, we prove that our method can remove the redundant triples to help data publisher provide more concise RDF data.