Abstract. Describing web resources using formal knowledge (i.e., creating metadata according to a formal representation of a domain of discourse) is the essence of the next evolution step of the Web, termed the Semantic Web. The W3C's RDF/S (Resource Description Framework/Schema Language) enables the creation and exchange of resource metadata as normal web data. In this paper, we investigate the use of RDFS schemas as a means of knowledge representation and exchange in diverse application domains. In order to reason about the quality of existing RDF schemas, a benchmark serves as the basis of a statistical analysis performed with the aid of VRP, the Validating RDF Parser. The statistical data extracted lead to corollaries about the size and the morphology of RDF/S schemas. Furthermore, the study of the collected schemas draws useful conclusions about the actual use of RDF modeling constructs and frequent misuses of RDF/S syntax and/or semantics.
In REF , Magkannaraki et al. looked at a collection of existing RDFS schemas and extracted statistical data for size and morphology of the RDFS vocabularies.
Benchmarking RDF Schemas for the Semantic Web
In Proc. of the International Semantic Web Conference (ISWC
Computer Science