Indoor navigation Linked Data at Óbuda University (original) (raw)

2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2016

Abstract

Publishing information about university buildings in Linked Data format allows the information to be freely consumed and aggregated with other data sources, filtered and delivered via multiple channels and devices to potential users: students, lecturers and visitors of universities. In this paper the loc ontology for indoor navigation is introduced and its usage is demonstrated in publishing the Óbuda University indoor data as LOD. Best practices for indoor modeling of a building is presented and the possible use of the data is demonstrated by outlining some SPARQL queries for the navigation features of future applications.

Peter Piros hasn't uploaded this paper.

Let Peter know you want this paper to be uploaded.

Ask for this paper to be uploaded.