Projects

DATALAB has participated in several research programs funded by national and European Commission research funds. DATALAB has participated in more than 25 research and development projects from which it has scientifically leaded more than 15 projects in the area of advanced data management and analytics, social networks, Web content mining and cloud computing. The most recent research activity involves relevant projects funded by the EU H2020 framework.

The purpose of this project concerns the investigation, determination and implementation of a common Enterprise Architecture, which can cover the particular needs of the most (if not of all) the
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Develop improved methods for knowledge extraction from massive amounts of data regarding moving objects. This knowledge is essential to substantiate decision making in public and private sectors. Moving object data
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BlogForever, a collaborative European Commission funded project, developed an exciting new system to harvest, preserve, manage and reuse blog content. The system is performing an intelligent harvesting operation which retrieves
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PhD funding program with the research been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of
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COST Action IC0804 proposed realistic energy-efficient alternate solutions to share IT distributed resources. As large scale distributed systems gather and share more and more computing nodes and Storage resources, their
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The project aimed at detecting user communities (in Twitter) based on users’ mentions and conversations in the context of specific topics. It has managed monitoring activity in microblogs (Twitter) to
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SFINX focuses on the human-machine distinction for VoIP service systems. The need to handle automated calls in the growing Internet telephony service (also known as SPIT) is the basic reference
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Culture heritage content virtual management with emphasis on sensor, Web and database technologies which enabled studying and developing of a new type of Virtual Museum integrating data streams from Web,
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Cloud9 is structured around three pillars, reflecting also on the research-related workpackages and final deliverables: (i) the Cloud Computer abstraction, building a novel highly scalable and high performance cloud architecture, providing
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