TY - CONF
TI - Providing Satellite Data to Mobile Developers Using Semantic
Technologies and Linked Data
AU - Bereta, Konstantina
AU - Caumont, Herve
AU - Daniels, Ulrike
AU - Dirk,
AU - Daems
AU - Koubarakis, Manolis
AU - Pantazi, Despina-Athanasia and
AU - Stamoulis, George
AU - Ubels, Sam
AU - Venus, Valentijn
AU - Wahyudi,
AU - Firman
PY - 2019
SP - 348-351
PB - IEEE Comput. Soc
T2 - 2019 13TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC)
TODO - 10.1109/ICSC.2019.00068
TODO - null
TODO - Copernicus is the European program for monitoring the Earth. It consists
of a set of complex systems that collect data from satellites and
in-situ sensors, process it, and provide users with reliable and
up-to-date information on a range of environmental and security issues.
Information extracted from Copernicus data is made available to users
through Copernicus services addressing six thematic areas: land, marine,
atmosphere, climate, emergency and security. The data processed and
disseminated puts Copernicus at the forefront of the big data paradigm
and gives rise to all relevant challenges: volume, velocity, variety,
veracity and value. In this paper we discuss the challenges of big
Copernicus data and how the Copernicus program handled them. We also
present lessons learned from our project Copernicus App Lab, which takes
Copernicus services information and makes it available on the Web using
semantic technologies to aid its take up by mobile developers.
ER -