This paper presents two contributions to the field of Ontology Evaluation. First, a live
catalogue of pitfalls that extends previous works on modeling errors with new pitfalls …

Linked Open Data (LOD) comprises an unprecedented volume of structured data on the
Web. However, these datasets are of varying quality ranging from extensively curated …

Abstract The Web Ontology Language, OWL, is the latest standard in logic based ontology
languages. It is built upon the foundations of highly expressive Description Logics, which are …

The quality of data is a key factor that determines the performance of information systems, in
particular with regard (1) to the amount of exceptions in the execution of business processes …

Justifications play a central role as the basis for explaining entailments in OWL ontologies.
While techniques for computing justifications for entailments in consistent ontologies are …

While the number and size of Semantic Web knowledge bases increases, their maintenance
and quality assurance are still difficult. In this article, we present ORE, a tool for repairing …

Understanding which ontology characteristics can predict a “good” quality ontology, is a core
and ongoing task in the Semantic Web. In this paper, we provide our findings on which …

This publication advances the state-of-the-art in ontology learning by presenting a set of
novel approaches to the semi-automatic acquisition, refinement and evaluation of logically …

Real-world semantic or knowledge-based systems can become large and complex, eg, in
the biomedical domain. Tool support for the localization and repair of faults within …

Ontological metamodeling has a variety of applications yet only very restricted forms are
supported by OWL 2 directly. We propose a novel encoding scheme enabling class-based …