Communications Networks, Content and Technology
European Commission Directorate General

Data and language technologies: research and innovation

Data and language technologies: research and innovation

Goal

Our vision is to advance research and innovation around data to reinforce the competitiveness of European companies in different sectors as well as companies offering data-related services and products with the help of advanced analytics solutions for multilingual data and content, and to help them pursue cross-border, cross-lingual and cross-sector market opportunities in Europe and worldwide also with the help of advanced language technologies.

Action

Our priority is to support and fund research and innovation fostering the intelligent use, management and reuse of complex and large amount of data for better decision-making, efficiency and knowledge management by European companies. Main areas of work will be:

  1. research on multilingual data and content analytics including visualisation;
  2. use of data driven intelligence and knowledge management in data intensive sectors;
  3. advancement of language technologies to overcome the language barriers in Europe.

Situation

Data management problems worldwide, and in the EU in particular, are evolving in terms of volume, velocity and variety. This, in particular, requires the ability to assign a shared interpretation (semantics) to data resources independently produced by millions of different organisations and billions of different devices. Research and innovation will contribute to reaping the benefits and addressing the challenges brought about by these trends.Cross-lingual and cross-media analytics enables better decision-making by businesses and public sector, taking into account the wealth of facts, news and citizens' opinions available in the Web, and expressed in many different languages. European citizens can access content and communicate in all languages, e.g. on social networks. Therefore it is necessary to increase the availability of language data and at the same time target a breakthrough in research by enriching the current methods used for automated translation with insights from other disciplines.The language barrier also means that EU companies that sell products online or that have content as a product do not have immediate access to a market of hundreds of millions of customers like their American counterparts. In order to outgrow their national markets, European companies will have to localise their products. This entails costs and requires special skills, which is in particular a problem for SMEs.

Input

Full-Time Equivalent: 
People: 
20.00 full-time equivalent (FTE)
Budget: 
In 2013 the combined budget of FP7 calls will be €73 ml while the Unit has been managing a portfolio of 135 projects with a combined EU contribution of €408 ml. We envisage spending under Horizon 2020 of the order of €111 ml (years 2014-15) (figures tbc)
Data Value Chain (Unit G.3)
Outputs

Industry participation in R&I projects

Mobilisation of researchers and the industrial constituencies through their participation in a large number of successful projects

Indicators

448

% participation of industry / SMEs (lead indicator)

Baseline 46% in 2013
Target > 50% participation of industry (with a target increase of around 10%)

Availability of R&I roadmap

Availability of a unifying research and innovation roadmap aggregating all stakeholders

Indicators

1404

Availability of a unifying research and innovation roadmap aggregating all stakeholders

Target Research and innovation roadmap available by end 2014(by end 2014)
Results/Impacts

European suppliers achieve market share in the area of Big data products and services corresponding to share of EU economy

New advanced methods, systems, technologies, products, services: contribution to the stimulation of the creation of jobs and of smart economic growth by enabling European companies to improve their competitiveness by acquiring advanced analytics solutions from other European companies and by pursuing market opportunities in Europe and worldwide, as measured by the data market monitoring tool (resulting from a study)

Indicators

450

New advanced methods, systems, technologies, products, services, as measured by the data market monitoring tool (resulting from a study)

Target European suppliers enabled to reach by 2020 a share of the Big Data market compatible with the size of our economy (30% of world market) (by 2020)

New jobs created

Indicators

1413

Number of European data workers

Baseline Baseline figure will be set by the European data market study
Target Number of European data workers increased in the 2014-2020 period (2014-2020)

Growth of data companies

Indicators

1415

Revenue generated by data companies

Baseline Baseline figure will be set by the European data market study
Target Revenue generated by European data companies increased both in absolute and relative terms in the 2014-2020 period(2014-2020)

Number of data companies, including start-ups

Baseline Baseline figure will be set by the European data market study
Target Number of European data companies, including start-ups, increased in the 2014-2020 period (2014-2020)

Link to DG CONNECT's Top Level Targets

  • Europe 2020 - 75% of the population aged 20-64 should be employed Europe 2020
  • Europe 2020 - 3% of the EU's GDP should be invested in R&D, complemented by a future EU 2020 Headline Innovation Indicator
  • eCommerce Action Plan - Double the share of eCommerce in retail sales and of the internet sector in European GDP by 2015
  • H2020 - By 2020, one third of all Europe's ICT business investment in ICT R&D in the EU should come from companies created within the last two decades
  • DAE - 50 % of the population to buy online by 2015
  • DAE - 20 % of the population to buy online cross-border by 2015
  • DAE - 33 % of SMEs to make online sales by 2015