Paper Info
Title
Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities.
Abstract
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 semantics-based reasoning mechanisms and tools according to application-demand and user requirements. S-LOR (i) supports an automated 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 different IoT smart city applications. The use cases described in this paper fits in the domain of smart city applications within Internet of Things deployed systems.
Year
DOI
Venue
2017
10.1145/3041021.3054716
WWW (Companion Volume)
Field
DocType
Citations 
Data mining,World Wide Web,Use case,Computer science,Reuse,Interoperability,Internet of Things,Linked data,Smart city,User requirements document,Semantics
Conference
5
PageRank 
References 
Authors
0.47
6
5
Name
Order
Citations
PageRank
Amelie Gyrard115518.43
Martín Serrano214321.02
Joao Jares3102.72
Soumya Kanti Datta424929.23
Muhammad Intizar Ali524335.86