This PowerPoint presentation explains the role which concepts from thesauri and taxonomies play in Linked Data. It briefly discusses ontologies in general before moving on to OWL (Web Ontology Language). Discusses the advantages and drawbacks of mixing vocabularies (e.g., OWL, RDFS, SKOS) and trade-offs between simplicity and expressivity. Focuses on the importance of not trying to force relationship types when they are not appropriate (e.g., "broader than" or "narrower than" when no hierarchy exists; "same as" when two objects are not exact matches).
Keywords: Web Ontology Language (OWL), Taxonomy, Thesaurus, Equivalence properties
Author: Malaise, Veronique
Date created: 2017-03-28 04:00:00.000
Time required: P25M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive
- Knows that the word "ontology" is ambiguous, referring to any RDF vocabulary, but more typically a set of OWL classes and properties designed to support inferencing in a specific domain.
- Knows Web Ontology Language, or OWL (2004), as a RDF vocabulary of properties and classes that extend support for expressive data modeling and automated inferencing (reasoning).
- Recognizes that owl:sameAs, while popular as a mapping property, has strong formal semantics that can entail unintended inferences.