Providing Satellite Data to Mobile Developers Using Semantic Technologies and Linked Data
| Autor: | Sam Ubels, Manolis Koubarakis, Daems Dirk, Firman Wahyudi, V. Venus, Despina-Athanasia Pantazi, Konstantina Bereta, Ulrike Daniels, George Stamoulis, Hervé Caumont |
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| Rok vydání: | 2019 |
| Předmět: |
Geospatial analysis
business.industry Computer science Big data Cloud computing 02 engineering and technology computer.file_format Linked data computer.software_genre Data science Variety (cybernetics) 020204 information systems 0202 electrical engineering electronic engineering information engineering Semantic technology 020201 artificial intelligence & image processing RDF business computer Copernicus |
| Zdroj: | ICSC |
| DOI: | 10.1109/icosc.2019.8665579 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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