Ontologies are formal knowledge models that describe concepts and relationships and
enable data integration, information search, and reasoning. Ontology Design Patterns …

This chapter focuses on data transformation to RDF and Linked Data and furthermore on the
improvement of existing or extracted data especially with respect to schema enrichment and …

Analysis of the naming of entities across ontological structures can help reveal both naming
issues and underlying conceptualization issues. Cross-entity naming analysis thus extends …

We present an experimental implementation of an ontological engineering support method
that allows to see multiple OWL modeling options for a certain modeled situation. Initial style …

The demo paper presents B-Annot, a Protégé plugin for annotation of ontologies and linked
data vocabularies by background model distinctions. In addition, it briefly demonstrates the …

Most ontologies used in e-commerce are nowadays taxonomies with simple structure and
loose semantics. One exception is the OPDM collection of ontologies, which express rich …

Reengineering an existing ontology to get it aligned with best practices, represented as
design patterns or core ontologies, can be challenging. We demonstrate how the versatile …

A semantic web ontology, as machine-readable encoding of a shared conceptualization of
some (usually, real-world) state of affairs, may not always remain stable and unchangeable …

Via a comparison of the currently used language-based components for knowledge sharing,
this article first highlights the difficulties caused by the inexistence–and hence absence of …

Ontologies and vocabularies written in the OWL language are a crucial part of the semantic
web. OWL allows to model the same part of reality using different combinations of constructs …