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Modeling, Generating, and Publishing Knowledge as Linked Data Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Soundness and Ontology-Based Consistency of Sensor Data Acquisition Plans

Authors : Luca Ferrari, Marco Mesiti, Stefano Valtolina

Published in: Knowledge Engineering and Knowledge Management

Publisher: Springer International Publishing

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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.

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previous chapter IKEYS: Interactive KEYword Search Dedicated to Corporate Data
next chapter Selecting and Tailoring Ontologies with JOYCE
Literature
1.
Cugola, G., Margara, A.: Processing flows of information: from data stream to complex event processing. ACM Comput. Surv. 44(3), 62 pages (2012). Article No. 15
2.
Zettsu, K.: Service-controlled networking. J. Nat. Inst. Inf. Commun. Technol. 62(2), 177–184 (2015)
3.
W3C Semantic Sensor Network Group: Semantic Sensor Network Ontology (2005)
4.
Compton, M., et al.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)CrossRef
5.
Mesiti, M., et al.: StreamLoader: an event-driven ETL system for the on-line processing of heterogeneous sensor data. In: Proceedings of International Conference on Extending Database Technology, pp. 628–631 (2016)
Metadata
Title
Soundness and Ontology-Based Consistency of Sensor Data Acquisition Plans
Authors
Luca Ferrari
Marco Mesiti
Stefano Valtolina
Copyright Year
2017
Book
Knowledge Engineering and Knowledge Management

Print ISBN: 978-3-319-58693-9

Electronic ISBN: 978-3-319-58694-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58694-6_11

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