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Linked Data is a practical application of the Semantic Web technologies for connecting data worldwide. The Open Data pursuit has achieved remarkable progress in Europe as well, and studies have shown that it has a positive impact on the quality of education at university level too. Publishing information about university or college course, their corresponding places and related events, such as exams in Linked Data format allows the event information to be aggregated, filtered and delivered to potential participants: students and lecturers via multiple channels and devices. In the previously published version of our Linked Open University Data model organisational hierarchy, staff and publication data were modelled as Linked Data. With this model one can describe faculties, professors, their teaching and research activities, etc. as Linked Data giving a skeleton of human organisation of a university. In this paper we extend the model with temporal and location data including course schedule, event data and indoor location data. To this end we present the state of the current semantic representation formats for course data, event data and indoor location data and describe our approach for creating a unified schema for Linked Open University Data. We have reviewed several overlapping RDF schema and vocabulary, their potential combinations and usability in practice. Finally a formal representation of the model is presented as an OWL 2 ontology. We also provide some use cases where this machine readable data demonstrates its benefits, as well as some RDF data excerpt based on our model and some example SPARQL query Proceedings of the 1 International Conference and Exhibition on Future RFID Technologies Eszterhazy Karoly University of Applied Sciences and Bay Zoltán Nonprofit Ltd. for Applied Research Eger, Hungary, November 5–7, 2014. pp. 151–159 doi: 10.17048/FutureRFID.1.2014.151

Practical uses of location and event data as Linked Open University Data