Kless, D.; Lindenthal, J.; Milton, S.; Kazmierczak, E.: Interoperability of knowledge organization systems with and through ontologies (2011)
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- Abstract
- Ontologies are increasingly seen as a new type of knowledge organization system (KOS) besides traditional ones such as classification schemes or thesauri. Consequently, there are efforts to compare them with and map them to other KOS. This paper argues that only ontologies for reality representation are useful subjects of such comparisons and mappings. These ontologies are difficult to distinguish from other "data modelling" - types of ontology, since both can be represented through the popular Web Ontology Language (OWL). Data modelling ontologies such as Simple Knowledge Organization Systems (SKOS) are useful instruments for establishing interoperability between KOS in the sense of publishing and accessing data and data models in a uniform way as well as for relating them to each other. Discriminating these two understandings of ontologies particularly supports comparisons and mappings between traditional KOS and ontologies. In practice, such efforts are still impeded by the absence of standards or guidelines for vocabulary control in ontologies. Moreover, this paper emphasizes that methods for constructing and evaluating reality representation ontologies can be useful to re-engineer traditional KOS. This makes them become more interoperable in the sense of combinable, but also more useful in the sense of improving search expansion results and reusable for different purposes.
