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Inspired by: FP7 » Successful intelligent R&D data mining tools created

version: 1 / created: 2009-10-08
id: #178 / version id: #178
mode: VIEW

Originally submitted by: Martin Fatun
List of all contributors by versions (mouse over)
Last changed by: Martin Fatun
WI-WE status:
submitted unpublished archived

Source of inspiration

European Commission Framework Programme for RTD (FP7)

Theme/activity of inspiration

Theme 3 - ICT - Information & communication technologies

Sub-theme/area of inspiration

Pervasive and trusted network and service infrastructure

Optional reference/s to FP7 project/s

Use the following format: Project Acronym (Project Reference No.). Use commas if more than one project is associated to this Wild Card, for example: ALFA-BIRD (213266), SAFAR (213374), LAPCAT-II (211485)
ADMIRE (215024)

Headline

(max. 9 words)

Successful intelligent R&D data mining tools created

Description

(approx. 150 words)
Please describe the Wild Card (approx. 150 words)
Today's growing wealth of digital data in Europe is poorly exploited. Advances in storage, pervasive computing, digital sensors and instrumentation have led to massive growth in the volume of data collected and the number and complexity of data repositories. This growing wealth of data has an increasing potential to yield great benefits to science as it contains vital hidden knowledge. Typically, to extract that knowledge requires data mining over combinations of data from multiple data resources. New intelligent data maining tools applied to stndardized and shared Eurpean R&D digital information resources may lead to series of interesting interdisciplinary discoveries.

Keywords

Data mainink, AI, Artificial Intelligence, shared data resources, data repository

Likelihood

Closest timeframe for at least 50% likelihood
Please use one of the following options:
now-2025

Type of event

Human planned (e.g. terrorist attack or funded scientific breakthrough)

Type of emergence

please select (if any) describe related trend or situation
An extreme extension of a trend/development/situation
(e.g. Increased global warming leads to a total ban on fossil fuels)

Type of systems affected

Human-built Systems - E.g. organisations, processes, technologies, etc.

Classification

Desirable

Importance

please specify:
please select
Level 3: important for the European Union