• Publications
  • Influence
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
TLDR
This work presents an overview of Sesame, an architecture for efficient storage and expressive querying of large quantities of metadata in RDF and RDF Schema, and its implementation and the first experiences with this implementation.
SeRQL: A Second Generation RDF Query Language
TLDR
This position paper introduces a set of general requirements for an RDF query language, compiled from discussions between RDF implementors, experience and user feedback, and goes on to show how these requirements have been compiled into drafting the SeRQL query language.
Ontology-based information visualisation
The main contribution is to show how visual representations of information can be based on ontological classifications of that information. We first discuss the central role of ontologies on the
Inferencing and Truth Maintenance in RDF Schema
TLDR
A detailed algorithm for truth maintenance for RDF(S) is given, which tracks all deductive dependencies between statements, and uses this to determine which other statements will have to be removed as a consequence of a single deletion.
Sesame: An Architecture for Storin gand Querying RDF Data and Schema Information
TLDR
Sesame is an extensible architecture implementing a query engine for RQL, the most powerful RDF/RDF Schema query language to date.
SeRQL: An RDF Query and Transformation Language
TLDR
This paper introduces a set of general requirements for an RDF query language, compiled from discussions between RDF implementors, experience and user feedback, and concludes that SeRQL can be considered a real second generation RDF querying and transformation language.
On-To-Knowledge: Semantic Web-Enabled Knowledge Management
TLDR
An overview of the On-To-Knowledge approach to knowledge management is offered, dealing with large numbers of heterogeneous, distributed, and semistructured documents typically found in large company intranets and the World-Wide Web.
A Topic-Based Browser for Large Online Resources
TLDR
A thesaurus based browser that supports a mixed-initiative exploration of large online resources that provides support for thesauri-based search and topic-based exploration of query results is presented.
Exploring large document repositories with RDF technology: the DOPE project
This thesaurus-based search system uses automatic indexing, RDF-based querying, and concept-based visualization of results to support exploration of large online document repositories. Innovative
An RDF Query and Transformation Language
RDF Query Language proposals are numerous. However, the most prominent proposals are query languages that were conceived as first generation tryouts of RDF querying, with little or no RDF-specific
...
...