Soundness and ontology-based consistency of sensor data acquisition plans
Contributo in Atti di convegno
Data di Pubblicazione:
2017
Citazione:
Soundness and ontology-based consistency of sensor data acquisition plans / L. Ferrari, M. Mesiti, S. Valtolina - In: Knowledge Engineering and Knowledge Management / [a cura di] P. Ciancarini, F. Poggi, M. Horridge, J. Zhao, T. Groza, M.C. Suarez-Figueroa, M. d'Aquin, V. Presutti. - [s.l] : Springer Verlag, 2017. - ISBN 9783319586939. - pp. 109-113 (( Intervento presentato al 20. convegno EKAW tenutosi a Bologna nel 2016.
Abstract:
The verification of the soundness and consistency of data acquisition plans is an important requirement in the loading of data generated by physical and social devices. In this paper we discuss these properties in the context of the StreamLoader system.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Data streaming techniques; Distributed data integration and semantic enrichment; Internet of things; IoT platforms for big data; Theoretical Computer Science; Computer Science (all)
Elenco autori:
L. Ferrari, M. Mesiti, S. Valtolina
Link alla scheda completa:
Titolo del libro:
Knowledge Engineering and Knowledge Management