Handling the complexity of relevant data requires new techniques about data access, visualization, perception, and interaction for innovative and successful strategies. In order to address human-computer interaction, cognitive efficiency, and interoperability problems, a generic information visualization, user empowerment, as well as service integration and mediation approach based on the existing state-of-the-art in the relevant areas of computer science has to be achieved. This workshop will address these issues with a special focus on supporting distributed Big Data analysis in Virtual Research Environments (VREs). In this way, the overall scope and goal of the workshop is to bring together researchers in these areas to achieve a road map, which can support the acceleration in research activities by means of transforming, enriching, and deploying advanced visual user interfaces for managing and using e-Science infrastructures. Advancements in this fields of research can i.e. support the, creation, configuration, management, and usage of distributed Big Data analysis in VREs.
Road mapping infrastructures for advanced visual interfaces supporting big data applications in virtual research environments / Bornschlegl, Marco X.; Manieri, Andrea; Walsh, Paul; Catarci, Tiziana; Hemmje, Matthias L.. - STAMPA. - 2016:(2016), pp. 363-367. (Intervento presentato al convegno 13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016 tenutosi a Bari; Italia nel 07-10 June 2016) [10.1145/2909132.2927471].
Road mapping infrastructures for advanced visual interfaces supporting big data applications in virtual research environments
CATARCI, Tiziana;
2016
Abstract
Handling the complexity of relevant data requires new techniques about data access, visualization, perception, and interaction for innovative and successful strategies. In order to address human-computer interaction, cognitive efficiency, and interoperability problems, a generic information visualization, user empowerment, as well as service integration and mediation approach based on the existing state-of-the-art in the relevant areas of computer science has to be achieved. This workshop will address these issues with a special focus on supporting distributed Big Data analysis in Virtual Research Environments (VREs). In this way, the overall scope and goal of the workshop is to bring together researchers in these areas to achieve a road map, which can support the acceleration in research activities by means of transforming, enriching, and deploying advanced visual user interfaces for managing and using e-Science infrastructures. Advancements in this fields of research can i.e. support the, creation, configuration, management, and usage of distributed Big Data analysis in VREs.File | Dimensione | Formato | |
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