Enhancements of linked data expressiveness for ontologies
Renato Fabbri

TL;DR
This paper introduces new expressive techniques for ontologies in linked data, enhancing their usability and clarity in semantic web applications, based on practical needs from diverse ontology projects.
Contribution
It proposes novel methods for expressing property uses, prioritization, diagram depiction, and class-SKOS associations, addressing gaps in current ontology standards.
Findings
Enhanced expressiveness for property usage and prioritization
Improved diagrammatic representation of relations
Facilitated integration between OWL and SKOS
Abstract
The semantic web has received many contributions of researchers as ontologies which, in this context, i.e. within RDF linked data, are formalized conceptualizations that might use different protocols, such as RDFS, OWL DL and OWL FULL. In this article, we describe new expressive techniques which were found necessary after elaborating dozens of OWL ontologies for the scientific academy, the State and the civil society. They consist in: 1) stating possible uses a property might have without incurring into axioms or restrictions; 2) assigning a level of priority for an element (class, property, triple); 3) correct depiction in diagrams of relations between classes, between individuals which are imperative, and between individuals which are optional; 4) a convenient association between OWL classes and SKOS concepts. We propose specific rules to accomplish these enhancements and exemplify…
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Taxonomy
TopicsSemantic Web and Ontologies · Biomedical Text Mining and Ontologies · Natural Language Processing Techniques
