Nowadays, companies and individuals are immersed in digital interconnected ecosystems in which huge amounts of heterogeneous data, the so-called Big Data, are generated at an unprecedented speed. In this scenario, approaches and technologies for Big Data have the aim to make computable problems that involve large volumes of data, highly heterogeneous in size and structure, often generated in real-time, which can not be dealt with the existing information technologies.
The purpose of the laboratory is the study of methods, models, algorithms, approaches and languages for the management and analysis of heterogeneous Big Data, such as text, images, video, networks, structured data, geo-referenced data, multi-media and multi -dimensional, which vary in time, in order to foster the realization of innovative Smart Technologies. These technologies are capable to transform Big Data in Smart Data, i.e. data enriched by explicit semantics, modelled and elicited through semantic technologies, and implicit semantics, obtainable by means of machine learning techniques, artificial intelligence and data analytics. Moreover, the definition of Smart Models with Operations Research based methods, and mathematical evaluations for the study of quantitative and qualitative data are of primary importance.
Smart technologies make more effective and efficient activities such as business analytics, decision support, management and use of content, improve marketing activities and the quality of products/services offered to customers/users. In general, they optimize all the practical aspects present in different business and operation processes of organizations in different application fields.
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