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Title: Semantic features for context organization
Author: Antunes, M.
Gomes, D.
Aguiar, R.
Keywords: Context information
Internet of things
Big data
Web services
Information sources
Real-world information
Semantic features
Semantic similarity
Sensing devices
Technological world
Semantic Web
Issue Date: 2015
Publisher: IEEE
Abstract: In recent years the technological world has grown by incorporating billions of small sensing devices, collecting and sharing real-world information. As the number of such devices grows, it becomes increasingly difficult to manage all these new information sources. There is no uniform way to share, process and understand context information. In previous publications we discussed efficient ways to organize context information that is independent of structure and representation. However, our previous solution suffers from semantic sensitivity. In this paper we review semantic methods that can be used to minimize this issue, and propose an unsupervised semantic similarity solution that combines distributional profiles with public web services. Our solution was evaluated against Miller-Charles dataset, achieving a correlation of 0.6.
Peer review: yes
DOI: 10.1109/FiCloud.2015.103
ISBN: 978-1-4673-8103-1
Appears in Collections:DETI - Comunicações

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