Linked data, represented in an ontology-based knowledge graph, is at the core of DISQOVER’s data model. You can easily import and export linked data at any time using RDF, the open standard for linked data triples. Throughout the DISQOVER platform, open architecture is used for the data as well as for the application. You can connect the platform to third-party applications and services in numerous ways. For example:
Extend the Data Ingestion Engine with a custom plug-in component that relies on a third-party application for specialized data processing, such as Natural language processing (NLP).
Plug in a third-party search engine for specialized searches. An example of the level of customization that can be achieved is the chemistry search plugin, allowing you to search for chemical compounds by simply drawing (parts of) the chemical structure in a graphical environment.