SemaGrow - Data Intensive Techniques to Boost the Real-Time Performance of Global Agricultural Data Infrastructures

SemaGrow envisages to develop the scalable, efficient, and robust data services needed to take full advantage of the data-intesive and inter-disciplinary Science of 2020 and to re-shape the way that data analysis techniques are applied to the heterogeneous data cloud. As the trend to open up data and provide them freely on the Internet intensifies, the opportunities to create added value by combining and cross-indexing heterogeneous data at a large scale increase. To seize them, infrastructure is needed that is not only efficient, real-time responsive and scalable but is also flexible and robust enough to welcome data in any schema and form and to transparently relegate and translate queries from a unifying end-point to the multitude of data services that make up the open data cloud.

SemaGrow carries out fundamental databases research and develops methods and infrastructure that will be rigorously tested on three large-scale current use cases as well as on their projected data growth beyond project's end: SemaGrow is laying the foundations for the scalable, efficient, and robust data services needed to take full advantage of the data-intensive and inter-disciplinary Science of 2020.

Project type

European Research Consortium Project

Project Consortium



Universidad de Alcalá (UAH)


National Centre for Scientific Research “Demokritos” (NCSR-D)


University of Rome “Tor Vergata” (UNITOV)


Semantic Web Company GmbH (SWC)


Institute of Physics Belgrade (IPB)


Stichting Dienst Landbouwkundig Onderzoek (DLO)

The Netherlands

Food and Agriculture Organization of the United Nations (FAO)


Agro-Know Technologies (AK)




Project duration

11.2012 - 11.2015

Project website

Project manager and contact person

Miguel Ángel Sicilia


European Commission


3,146,747 €