In order to produce data interoperable not only on the level of its format, but also on the level of the content, it is important that all information stored is well defined. Ontologies help to clearly structure data in classes, with a proper definition of each class.
The use of an ontology therefore allows to produce semantically clear data. Thus, such data is interoperable with other data-sets using the same ontology and can be made interoperable with data-sets using other ontologies if an appropriate ontology-mapping is carried out.
The Geovistory data model builds on on the iso-normed CIDOC-CRM and specific extensions. This allows us to produce semantically well defined data and to ensure that data of all projects within Geovistory is interoperable. The ontology is not managed within Geovistory, but in a community-driven ontology management tool OntoME, which is operated by LARHRA in Lyon.
As described in the cycle of knowledge production, at a certain moment, based on what information your sources provide and the information you need to answer your research question you have to choose a semantic data-model that defines which entity classes are of relevance in your project and how they relate to each other (relations are named 'properties').
In Geovistory, users have different options how they can do this:
someentity classes are already available within each project and can simply be activated or deactivated.
entity classes are grouped in OntoME profiles, which take together entity classes of relevance for a certain topic. These OntoME profiles can be activated and are then available in your project.
if the entity classes you need are not yet available within an OntoME profile, you can create your own profile in the community-managed ontology platform OntoME. Please reach out to us if you need assistance in this process.