Ontology Matching for Big Data Applications in the Smart Dairy Farming Domain.
Jack P. C. Verhoosel, van Michael Bekkum, F.K. van Evert · Socio-Environmental Systems Modeling · 2026
This paper addresses the use of ontologies for combining different sensor data sources to enable big data analysis in the dairy farming domain. We have made existing data sources accessible via linked data RDF mechanisms using OWL ontologies on Virtuoso and D2RQ triple stores. In addition, we have created a common ontology for the domain and mapped it to the existing ontologies of the different data sources. Furthermore, we verified this mapping using the ontology matching tools HerTUDA, AML, LogMap and YAM++. Fi-nally, we have enabled the querying of the combined set of data sources using SPARQL on the common ontology.