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Ontology-based voice annotation of data streams in vehicles

conference contribution
posted on 2015-01-01, 00:00 authored by I Sosunova, Arkady ZaslavskyArkady Zaslavsky, T Anagnostopoulos, Alexey Medvedev, S Khoruzhnikov, V Grudinin
With proliferation of the Internet of Things, annotation and generation of metadata describing data streams produced by sensors becomes even more urgent and important. This article proposes a method of annotating data streams with voice and extracting semantics from data. The strengths and weaknesses of existing voice recognition systems are discussed and it is argued that ontologies should play important role in making annotations meaningful and useful for various services and applications, including annotating road conditions and traffic situations. The architecture and implementation of the proposed system is discussed and demonstrated.

History

Event

Open Innovations Association FRUCT. Conference (2015 : St. Petersburg, Russia)

Volume

LNCS 9247

Series

Open Innovations Association FRUCT Conference

Pagination

152 - 162

Publisher

Springer

Location

St. Petersburg, Russia

Place of publication

Cham, Switzerland

Start date

2018-08-26

End date

2018-08-28

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319231259

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2015, Springer International Publishing Switzerland

Editor/Contributor(s)

S Balandin, S Andreev, Y Koucheryavy

Title of proceedings

ruSMART 2015, NEW2AN 2015 : Proceedings of the 8th Conference on Internet of Things and Smart Spaces and the 15th International Conference on Next Generation Wired/Wireless Networking

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