Title
Ontology-Based Voice Annotation Of Data Streams In Vehicles
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-23126-6_14
INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS
Keywords
Field
DocType
Internet of things, Iot, Ontology, Speech recognition, Speech technology in vehicles, Intelligent transportation systems, ITS
Ontology (information science),Ontology,Metadata,World Wide Web,Data stream mining,Annotation,Information retrieval,Computer science,Computer security,Intelligent transportation system,Strengths and weaknesses,Semantics
Conference
Volume
ISSN
Citations 
9247
0302-9743
2
PageRank 
References 
Authors
0.67
6
6