Sometimes there are no existing vocabularies available for a specific domain, or they do not comply with the review criteria described above, therefore, one may decide to create a new vocabulary. In this case, it is necessary to use best engineering practices for modelling linked data in order to guarantee quality by design, and use proper advertising strategies to stimulate the adoption of the vocabulary in the LOD community. The main guidelines for creating a new vocabulary can be summarized in the following criteria:
More guidelines on the process of creating a new vocabulary can be found in this Blog. Setting up a new domain vocabulary has much in common with what traditionally was called defining a new semantic data standard for an industry domain. Both are a group process, and both results, the vocabulary and the semantic standard need to be maintained and updated. See BOMOS for an overview and detailed description of all activities needed for the management and maintenance of open standards. One might even argue that some semantic standards will be published as vocabularies in the future.
Ontology links can be specified using owl:subClassOf or owl:equivalentClass relations in the ontology itself, or in a separate mapping ontology that imports both the ontology of the original dataset and the ontologies one wants to map to. Such mappings can be exploited by a reasoner attached to the triple store to derive additional links between the data and the more general ontologies. In this way, a user that does not know the original ontology can query the dataset using the more general ontologies.
Once you have modelled your data by either re-using existing vocabularies or by creating new vocabularies the next step is to define a naming structure for your dataset which makes it uniquely identifiable.
Door middel van reasoning, redeneren met data (feiten) en regels, probeer je nieuwe feiten te achterhalen met de verzameling feiten en regels die je op een bepaald moment hebt. Met OWL en RDF Schema kun je redeneren, maar dat heeft zijn beperkingen. Binnen de PLDN community is er interesse in SHACL en SPIN om te bekijken in hoeverre deze de beperkingen van OWL en RDFS kunnen oplossen.
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