Author:
Fano Ramparany
Affiliation:
Orange Labs, France
Keyword(s):
Semantic Web, Internet of Things, Smart Home, Smart Sensors.
Related
Ontology
Subjects/Areas/Topics:
Aggregation, Classification and Tracking
;
Applications and Uses
;
Artificial Intelligence
;
Computational Intelligence
;
Data Communication Networking
;
Data Manipulation
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Formal Methods
;
Home Monitoring and Assisted Living Applications
;
Internet of Things
;
Multi-Sensor Data Processing
;
Ontologies
;
Reasoning on Sensor Data
;
Sensor Data Fusion
;
Sensor Networks
;
Simulation and Modeling
;
Soft Computing
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Telecommunications
Abstract:
One salient feature of data produced by the IoT is its heterogeneity. Despite this heterogeneity, future IoT
applications including Smart Home, Smart City, Smart Energy services, will require that all data be easily
compared, correlated and merged, and that interpretation of this resulting aggregate into higher level context
better matches people needs and requirements. In this paper we propose a framework based on semantic
technologies for aggregating IoT data. Our approach has been assessed in the domain of the Smart Home
with real data provided by Orange Homelive solution. We show that our approach enables simple reasoning
mechanisms to be conducted on the aggregated data, so that contexts such as the presence, activities of people
as well as abnormal situations requiring corrective actions, be inferred.