Istituto di Scienza e Tecnologie
dell’Informazione “A. Faedo”

The ongoing shift of services and applications toward Cloud platforms brings users to entrust their whole service stack, from data storage to company workflows, to external providers. Besides the development of new Cloud platforms and standards, key research challenges are federating services and resources from different public/private Clouds, providing scalable interoperability, wisely matching services and needs, protecting the privacy and security of users' data.

Contact: Raffaele Perego

Projects:

• BASMATI - Cloud Brokerage Across Borders for Mobile Users and Applications
• EGI-Engage - Engaging the EGI Community towards an Open Science Commons
• ElasTest - ElasTest: an elastic platform for testing complex distributed large software systems
• EOSCpilot - The European Open Science Cloud for Research Pilot Project.
• OpenAIRE2020 - Open Access Infrastructure for Research in Europe 2020

An increasing number of algorithms and applications leverage data mining and machine learning techniques to deal with the complexity and scale of the data. We gather large volumes of direct or indirect evidence of relationships of interest, and we apply data mining and learning algorithms in order to extract accurate models to: rank results of queries, predict the evolution of complex phenomena, provide relevant recommendations by considering user context and preferences.

Contact: Raffaele Perego

Projects:

• SoBigData HPC - Social Mining and Big Data Ecosystem

The focus is addressing interesting, often yet unsolved problems, related to the design, implementation and deployment of information systems that scale far larger than most other systems and can effectively and efficiently provide in near real-time answers to complex queries by possibly using a limited amount of computational resources.

Contact: Raffaele Perego

Projects:

• OpenAIRE2020 - Open Access Infrastructure for Research in Europe 2020
• OpenUP - OPENing UP new methods, indicators and tools for peer review, impact measurement and dissemination of research results
• OpenUP ISTI Castelli - OPENing UP new methods, indicators and tools for peer review, impact measurement and dissemination of research results

Structured and semi-structured data available on the Web is constantly increasing. The Web of Data is no longer limited to a few specialists, but it attracts companies, governments and individuals. The focus is on investigating precise and efficient methods for linking objects to additional semantic information provided by external knowledge bases. Objects to be enriched can range from short snippets of text to more complex data such as spatio-temporal records.

Contact: Raffaele Perego

Projects:

• OpenUP - OPENing UP new methods, indicators and tools for peer review, impact measurement and dissemination of research results
• OpenUP ISTI Castelli - OPENing UP new methods, indicators and tools for peer review, impact measurement and dissemination of research results

Recent years have seen the exponential growth of scale and complexity of heterogeneous digital content coming from various sources such as the Web, social media/networks, as well as databases and usage logs recording most of human activities. Scalable paradigms to manage, analyse, and search those large, real-world data are becoming increasingly important.

Contact: Raffaele Perego

The widespread use of social networks and multimedia sharing platforms opens unprecedented possibilities for extracting fresh information about large communities of people, events and opinions. Understanding which are the more relevant topics in this information flow and how they spread across the network is a challenging task impacting also the area of Social Sciences. Our focus is on designing novel machine learning tools aimed at enhancing Information Retrieval and filtering applications, such as news recommendation and trend detection.

Contact: Raffaele Perego