Language technologies, digital content technologies and Big Data are becoming ever increasingly interlinked. Language technologies provide tools for translation, interaction and analytics. Analytics tools help extract meaning from data, and visualisation tools deliver the results of the data extraction in a way that human users can understand.

The Data Value Chain Strategy aims to foster commercial and social added value based on the intelligent use, management and re-use of data sources in Europe, through a combination of Research and Innovation, legislative and deployment actions.

Language technologies fit into the Data Value Chain Strategy's priorities by:

  • Developing a strategy for the European data value chain towards actions that will help to boost the emerging European data industry and contribute to increased efficiency in a range of data-intensive application areas.
  • Supporting 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. Main areas of work are: Research on data and content analytics including visualisation and multilingual data; the use of data driven intelligence and knowledge management in data intensive sectors.
  • Advancing the Commission's open data policy by accompanying the adoption process of the revised Directive on the re-use of Public Sector Information by Parliament and Council, by handling complaints and infringements based on the existing PSI Directive, and by promoting open data policies across the European Union.
  • Creating the basis for pan-European portals for open data and for language resources. These portals will improve the accessibility and usability of fragmented data and language resources available at the local, regional and national level.