SENSdesc: Connect Sensor Queries and Context

Dörthe Arndt, Pieter Bonte, Alexander Dejonghe, Ruben Verborgh, Filip De Turck, Femke Ongenae

Abstract

Modern developments confront us with an ever increasing amount of streaming data: different sensors in environments like hospitals or factories communicate their measurements to other applications. Having this data at disposal faces us with a new challenge: the data needs to be integrated to existing frameworks. As the availability of sensors can rapidly change, these need to be flexible enough to easily incorporate new systems without having to be explicitly configured. Semantic Web applications offer a solution for that enabling computers to ‘understand’ data. But for them the pure amount of data and different possible queries which can be performed on it can form an obstacle. This paper tackles this problem: we present a formalism to describe stream queries in the ontology context in which they might become relevant. These descriptions enable us to automatically decide based on the actual setting and the problem to be solved which and how sensors should be monitored further. This helps us to limit the streaming data taken into account for reasoning tasks and make stream reasoning more performant. We illustrate our approach on a health-care use case where different sensors are used to measure data on patients and their surrounding in a hospital.

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Paper Citation


in Harvard Style

Arndt D., Bonte P., Dejonghe A., Verborgh R., De Turck F. and Ongenae F. (2018). SENSdesc: Connect Sensor Queries and Context.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health, ISBN 978-989-758-281-3, pages 671-679. DOI: 10.5220/0006733106710679


in Bibtex Style

@conference{ai4health18,
author={Dörthe Arndt and Pieter Bonte and Alexander Dejonghe and Ruben Verborgh and Filip De Turck and Femke Ongenae},
title={SENSdesc: Connect Sensor Queries and Context},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,},
year={2018},
pages={671-679},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006733106710679},
isbn={978-989-758-281-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,
TI - SENSdesc: Connect Sensor Queries and Context
SN - 978-989-758-281-3
AU - Arndt D.
AU - Bonte P.
AU - Dejonghe A.
AU - Verborgh R.
AU - De Turck F.
AU - Ongenae F.
PY - 2018
SP - 671
EP - 679
DO - 10.5220/0006733106710679