In modern computer science1) and information science basic definitions consider an ontology to be:
In more details, an ontology usually includes:
An ontology can be used to:6)
You can follow this brief guide or a more detailed description with examples: Ontology Development 101: A Guide to Creating Your First Ontology.
Ontologies contain domain knowledge in the form of definitions of terms, individuals belonging to these terms and relationships between these terms and individuals. The above constitute the asserted knowledge, that is, explicitly defined facts within the ontology. Ontologies also incorporate a reasoning mechanism in order to derive facts from explicitly defined knowledge (Baader et al. 2003). These facts, not explicitly defined in the initial ontology, constitute the inferred knowledge. In this approach, reasoning is applied before question generation and thus, generated questions are based on both asserted and inferred knowledge. As a result, a student performing a test is assessed on recalling factual knowledge, but also is expected to apply some ‘lower level intellectual skills’, in the sense of simple domain specific rules, in order to answer questions based on inferred knowledge. These skills are referred by Gagné et al. (1992) as concrete and defined concepts and are related to the ability to identify and classify specific individuals as members of particular concepts. Nevertheless, domain ontologies are not capable of specifying ‘procedural knowledge’ and thus they cannot be used alone for assessing higher order cognitive skills (Holohan et al. 2006).