Big Data Network – MDK

In a broad range of application areas, data is produced at a scale so that it cannot be managed with conventional technologies. This has led to the emergence of the Big Data phenomenon requiring new tools for collecting, querying and mining large sets of data.

Heterogeneous data collected in a massive way or broadcast, must indeed be cleaned, crossed and enriched, filtered and aggregated to form in fine products rich in semantics and strategic for analysis and decision making. We move from a huge amount of data to oceans of knowledge with at the heart of this transition, new scientific and technological advances that bring innovations in socio-economic and scientific world. Providing support to the continuum "data-information-knowledge-making" requires to:
• manage, organize, access to masses of data from many different sources (Volume), with large differences in terms of content, structure and semantics (Variety), with a high rate of change (Velocity) and whose quality is more or less guaranteed / certified (Veracity)
• extract relevant knowledge and some added value using data analysis and data mining processes. The presence of inaccuracies, inconsistencies, errors, expressions of opinions, etc. makes knowledge discovery and decision making complex tasks.
Scientific communities concerned with these challenges are those of data management and databases, information retrieval, statistics and data analysis, knowledge discovery from data, machine learning, artificial intelligence, or visualization.

The general objective of the MDK is to provide a framework that enables exchange of ideas and drives collective efforts from all these communities, on research and innovation in the field of Big Data and Knowledge analysis and management. The goal is to provide prospective studies, to make recommendations and to propose concrete actions. This collective interdisciplinary effort will be accompanied by a strategy at national and European level.