Authors:
Alessandro Oggioni
1
;
Mauro Bastianini
2
;
Paola Carrara
1
;
Tiziano Minuzzo
2
and
Fabio Pavesi
1
Affiliations:
1
CNR - IREA, Italy
;
2
CNR - ISMAR, Italy
Keyword(s):
Sensor Web, Interoperability, Marine Observations, Real Time Measurements.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Data Visualization
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Sensor Data Fusion
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
Abstract:
Managing real time data collected by a network of heterogeneous sensors from marine sites needs to face challenges such heterogeneity, quality check, harmonization, description of sensors, etc. This is the purpose of the proof-of-concept described in this paper; it tests the suitability of OGC Sensor Web Enablement services, exploiting in particular the Sensor Observation Service (SOS) and the associated SensorML and O&M standards. Two Italian marine observatories have been included in the proof, both belonging to CNR ISMAR; they are the oceanographic Platform “Acqua Alta” and a weather station in Venice (Italy). They measure multiple real time parameters and distribute them by OGC SOS.
The multilayer architecture and the service approach adopted enable decoupling of components; in particular, the proof shows that each Institution hosting a sensor station is allowed to store observations and deliver them to multiple independent clients, in a standard, interoperable way, well recogni
zed and accepted at European and global scale. The proof has been implemented and tested in three scenarios to retrieve and display descriptions of stations, sensors and measurements available; to retrieve and display observations of one parameter selected from multiple sensors; to retrieve observations of all parameters collected from sensors of a specific station.
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