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Title: Scalable semantic aware context storage
Author: Antunes, M.
Gomes, D.
Aguiar, R. L.
Keywords: IoT
Context information
Context representation
D dimensions
Organization model
Real-world information
Representation schemes
Semantic extraction
Issue Date: Mar-2016
Publisher: Elsevier
Abstract: The number of connected devices collecting and distributing real-world information through various systems, is expected to soar in the coming years. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, but none of them have been widely adopted. In previous work we addressed this challenge, however our solution had some drawbacks: poor semantic extraction and scalability. In this paper we discuss ways to efficiently deal with representation schemes' diversity and propose a novel d-dimension organization model. Our evaluation shows that d-dimension model improves scalability and semantic extraction.
Peer review: yes
DOI: 10.1016/j.future.2015.09.008
ISSN: 0167-739X
Appears in Collections:DETI - Artigos

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