TAG: Big DATA
Big Data technologies now allow to elaborate immense unstructured data sets to extract informations, build models and predict the functioning of complex systems. Multidisciplinary, Big Data approaches have been applied to various fields, from ICT to the energy sector, from epidemioligic studies the new economic models.
Projects with this TAG (4)
social networks analysis in the television environment
The huge transformation on how we enjoy television content is by now a fact, it is increasingly emerging that the second screens (PCs, tablets, smartphones) have become a structural extension of television media, so that content producers are called to address the challenge of providing real-world entertainment and information experiences that can be viewed through different device and media in synergy.
From these considerations there are new opportunities for the entire television production sector. Social media, in particular, can increase the knowledge of user’s perception of the program and at the same time maximize the audience using multiple screens. The picture that we are looking requires to offer no more simple television products such as linear audio / video but true experiential paths, a profound transformation of the television offer not only multi-device but trimmed to the needs of the user, able to capture user in the most diverse situations. This requires an in-depth knowledge of consumer behavior.
In this context it becomes essential to identify the synergies between the television world and the WEB, with particular attention to social networks and what level of integration and collaboration can be achieved between the two worlds.
Technology for "Data Journalism" activities
In the modern digital age, a big challenge lies in the ability of collecting, connecting, analysing and presenting heterogeneous content streams, accessible through different sources, and published through different media modalities. At this purpose, the project is aiming at identifying an end-to-end workflow for data driven journalism.
Supporting Media Workflows on Advanced Cloud Object Store Platforms
RAI CRIT is supporting research to extend cloud object store technologies to address emerging media industry requirements, such as scalability, efficiency and adaptability of production and archiving workflows.
Metadata standard for interoperable Recommender Systems