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RDF and RDF Schema are two W3C standards aimed at enriching the Web with machine-processable semantic data. We have developed Sesame, an architecture for efficient storage and expressive querying of large quantities of metadata in RDF and RDF Schema. Sesame's design and implementation are independent from any specific storage device. Thus, Sesame can be(More)
RDF and RDF Schema provide the first W3C standard to enrich the Web with machine-processable semantic data. However, to be able to use this semantic data, a scalable, persistent RDF store and a powerful query engine using an expressive query language are needed. Sesame is an extensible architecture implementing both of these. Sesame can be based on(More)
The main contribution of this paper is to show how visual representations of information can be based on ontological classifications of that information. We first discuss the central rôle of ontologies on the Semantic Web. We subsequently outline our general approach to the construction of ontology-based visualisations of data. This is followed by a set of(More)
The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a domain in terms of thesauri or on-tologies can leverage this problem to some extend. In order to be useful, there is a need for interactive tools for exploring large information(More)
The DOPE project (Drug Ontology Project for Elsevier) is driven by the need to access multiple information sources through a single interface. In this paper, we describe how DOPE allows thesaurus-driven access to heterogeneous and distributed data, based on the RDF data model. The architecture allows for the easy addition of thesauri and data sources, and(More)
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