Sensor-based linked open rules (S-LOR): An automated rule discovery approach for IoT applications and its use in smart cities

Gyrard, Amélie; Serranoy, Martin; Bosco Jaresy, Joao; Datta, Soumya Kanti; Intizar Ali, Muhammad

This paper introduces an automated rule discovery approach for IoT device data (S-LOR: Sensor-based Linked Open Rules) and its use in smart cities. S-LOR is built following Linked Open Data (LOD) Standards and provides support for semantics based mechanisms to share, reuse and execute logical rules for interpreting data produced by IoT systems. S-LOR follows LOD principles for data re-usability, semantics-based reasoning and interoperability. In this paper, S-LOR main capability is demonstrated in the context of enabling semanticsbased reasoning mechanisms and tools according to applicationdemand and user requirements. S-LOR (i) supports an au-
tomated interpretation of IoT data by executing rules, and (ii) allows an automated rule discovery interface. The implemented S-LOR mechanism can automatically process and
interpret data from IoT devices by using rule-based discovery paradigm. Its extension called Linked Open Reasoning (LOR) enables and encourages re-usability of reasoning
mechanisms and tools for di erent IoT smart city applications. The use cases described in this paper ts in the domain of smart city applications within Internet of Things deployed systems.

DOI
HAL
Type:
Conférence
City:
Perth
Date:
2017-04-03
Department:
Systèmes de Communication
Eurecom Ref:
5144
Copyright:
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in http://dx.doi.org/10.1145/3041021.3054716

PERMALINK : https://www.eurecom.fr/publication/5144