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Semantic Annotations for Sensor Open Data
Mikel Emaldi, Jon Lázaro, Unai Aguilera, Oscar Peña, and Diego López de Ipiña
{m.emaldi, jlazaro, unai.aguilera, oscar.pena, dipina}@deusto.es
Table of Contents
- Motivation
- Bizkaisense
- Related Work
- Semantic Annotations of Pollution Sensors
- Conclusions & Future Work
Motivation
Open Data Euskadi
- Initiative by Basque Government
- Since 2009
- Focused on opening RAW data from different administrations
- A lot of data :-)
- Few applications using it :-(
www.opendata.euskadi.net
Challenge!
- Demonstrate the usefulness of the Open Data from Basque Country
- Develop a useful model for the publication of similar data
Bizkaisense
Intelligent sensory infrastructure to improve sustainability...
... using Open Linked Data as input data
- DeustoTech - Internet
- DeustoTech - Energy
Starting Point
Environmental sensor data from Open Data Euskadi, provided by air-quality measurement stations from Basque Country.
- 72 stations
- 18 different measurement (distributed between chemical substances and solar radiation)
- Historical data since 2007
Related Work
Some examples about Semantic Sensor Networks:
- DERI's Linked Stream Middleware (LSM)
- OEG's AEMET Linked Data
- Enabling lightweight semantic sensor networks on android devices (d' Aquin et al.)
- Semantic Sensor Data Search in a Large-Scale Federated Sensor Network (Calbimonte et al.)
- Aggregating Linked Sensor Data (Stasch et al.)
Semantic Annotation of Pollution Sensors
- SSN
- WGS84
- DUL
- SWEET
- MUO
- DC
SWEET 2.3
- Semantic Web for Earth and Environmental Technology
- Developed by NASA
- 6,000 concepts in 200 separate ontologies
- Orthogonal concepts (space, time, physical cuantities...)
- Science knowledge concepts (phenomena, events...)
- The ontology is very complex, but...
MUO
- Measurements Units Ontology
- Developed by CTIC
- Instances of UCUM (Unified Code for Units of Measure)
- We have extend MUO with 11 new UCUM instances
Conclusions & Future Work
- We have developed an easily reusable model for enviromental stations, extending SWEET with a pair of instances and MUO with 11 instances.
- We have published as Linked Data a huge dataset with:
- 277,718,535 of triples
- 28,121,496 of observations
- We are working with data about solid wastes!
Thank you! ;-)
Any question?
