Project description
Intelligent information management Exploiting a cloud infrastructure to augment collaboration and decision making in data-intensive and cognitively-complex settings
The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. The foreseen solution can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities.
Services to be developed are: (i) scalable data mining services (including services for text mining and opinion mining), (ii) collaboration support services, and (iii) decision making support services.
The achievement of the Dicode project’s goal will be validated through three use cases addressing clearly established problems. These concern: (i) scientific collaboration supported by integrated large-scale knowledge discovery in clinico-genomic research, (ii) delivering pertinent information from heterogeneous data to communities of doctors and patients in medical treatment decision making, and (iii) capturing tractable, commercially valuable high-level information from unstructured Web 2.0 data for opinion mining.
Field of science
- /natural sciences/computer and information sciences/data science/data processing
- /natural sciences/computer and information sciences/data science/data mining
Call for proposal
FP7-ICT-2009-5
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator Contact
Coordinator
26504 Patras
Greece
Participants (8)
80686 Munchen
10115 Berlin
Participation ended
60314 Frankfurt
10115 Berlin
28040 Madrid
115 27 Athina
LS2 9JT Leeds
LS1 4EE Leeds
