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Semantic information in sensor networks: How to combine existing ontologies, vocabularies and data schemes to fit a metrology use case

 
: Gruber, Maximilian; Eichstädt, Sascha; Neumann, Julia; Paschke, Adrian

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Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Workshop on Metrology for Industry 4.0 & IoT 2020. Proceedings : June 3-5, 2020, Roma, Italy
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-4892-2
ISBN: 978-1-7281-4891-5
ISBN: 978-1-7281-4893-9
S.469-473
International Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT) <3, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer FOKUS ()
metadata; Ontology; Sensor Network; information fusion; uncertainty; international system of units

Abstract
Self-describing sensors and measurements are a key component to establish (semi-)automated data-analysis in the context of Industry 4.0. In this contribution, multiple popular ontologies and vocabularies in the field of metrology are evaluated regarding their suitability for an industry-oriented metrological use case. The results are used to map necessary concepts from existing knowledge bases into a coherent new ontology that fulfills metrological requirements of sensor and measurement descriptions. We are considering use cases where aspects of sensor networks, network topology, network robustness, information fusion, calibration models for dynamic uncertainty, correct metrological representation and implementation performance are of interest.

: http://publica.fraunhofer.de/dokumente/N-596971.html