The sheer amount of numerical data, textual documents, images, video, Web sites available today is overwhelming, and cannot satisfy, per se, the emerging knowledge society. It is indeed necessary to extract, from this wealth of information, the knowledge hidden inside. Only this ability could guarantee a better future to the individuals and the society, as well as a sustainable economical development and competitiveness.
To locate useful information, to transform it into actionable knowledge, and to manage its use for decision-making can be accomplished through the exploitation of methodologies and tools of Data Mining and Knowledge Management (DMKM). Notwithstanding the availability on the market and in academic environments of advanced solutions and systems, DMKM still calls for further research and developments to face new important challenges. In particular, some hot issues are still to be tackled, such as the following ones:
More importantly, there is still a "semantic gap" between the form in which the data are represented and used by a computer and their "meaning" for a human user. The new emerging techniques for the Semantic Web are trying to close this gap.
Beyond the economic, scientific and technological challenges, the reasons that have motivated the members of the consortium to propose this Erasmus Mundus Master's degree are based on multiple observations:
These four observations have resulted in the project for the consortium's Master taking shape in order to construct a specialized offer in Data Mining and Knowledge Management. The building of the DMKM Master has been supported by the Erasmus Mundus program from promotion 2010-2012 to 2014-2016. Now, the DMKM European Master is independent from this program.