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Capturing the Structure of Internet of Things Systems with Graph Databases

Authors:
Gilles Privat
Dana Popovici

Keywords: Internet of Things(IoT); Cyber-Physical Systems (CPS); Sensor-Actuator Networks; Ontologies; Linked Open Data; Resource-Oriented Architectures(ROA); Resource Description Framework (RDF)

Abstract:
The deep structure of Internet of Things (IoT) environments understood as complex Cyber-Physical Systems (CPS) is made up of all interwoven relationships of physical actuation, sensing, proximity, grouping and containment between their constituent subsystems. We describe and assess three solutions for capturing and exposing this structure as a persistent graph of matching links between the informational proxies that represent these subsystems. A graph database may provide an access-efficient persistence support for this graph, tightly coupled with the mediation platform. Alternatively, the Resource Description Framework (RDF) may be used directly as a standard, open and extensible means to represent this graph and its associated semantics, with triplestores as a persistent repository supporting queries with standard languages such as SPARQL. A third solution would be, if fine-grain hyperlinked REST interfaces are provided to subsystems or their states viewed as resources, to delegate the creation and maintenance of this graph to an external web crawler and search engine

Pages: 176 to 179

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-408-4

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015