The INSPIRE Directive 2007/2/EC, establishes an Infrastructure for Spatial Information in Europe, requiring large amounts of environmental digital content to be made accessible across Europe, resulting in a data pool that is expected to be of huge value for a myriad of value-added applications.
Urban and Regional Planning data sets are not aggregated so far, and thus it is very difficult to use them for any other purpose than for printing of simple publishing by the authorities that they were created by.
The use of machine translation (MT) is becoming much more pervasive. At the same time, Web 2.0 paradigms are democratising content creation - stressing the value of communities of users creating content for each other. However, right now these two trends are fairly incompatible.
Today Europe is facing larger and more critical language challenges than ever before. The production of multilingual content now far outpaces our ability to translate it by human effort and we must turn to automatic methods to cope.
The CASMACAT project will build the next generation translator's workbench to improve productivity, quality, and work practices in the translation industry. We will carry out cognitive studies of actual unaltered translator behaviour based on key logging and eye tracking.
Linked Open Data (LOD) shows enormous potential in becoming the next big evolutionary step of the WWW. However, this potential remains largely untapped due to missing usage and monetisation strategies.
Social media poses three major computational challenges, dubbed by Gartner the 3Vs of big data: volume, velocity, and variety. Content analytics methods have faced additional difficulties, arising from the short, noisy, and strongly contextualised nature of social media.
The goal of the X-LIKE project is to develop technology to monitor and aggregate knowledge that is currently spread across global mainstream and social media, and to enable cross-lingual services for publishers, media monitoring and business intelligence.
DOPA will enable European SMEs to become key players in the global data economy, as the impacts of the DOPA RTD activities will likely materialize in both the supply and in the demand side of B2B vertical market segments of the data related services.
Linked Data has established itself as the de facto means for the publication of structured data over the Web, enjoying amazing growth in terms of the number of organizations committing to use its core principles for exposing and interlinking data sets for seamless exchange, integration, and reuse.
The main objective of EUMSSI is developing technologies for identifying and aggregating data presented as unstructured information in sources of very different nature (video, image, audio, speech, text and social context), including both online (e.g., YouTube) and traditional media (e.g.
The FAUST project will develop machine translation (MT) systems which respond rapidly and intelligently to user feedback. Current web-based MT systems provide high-volume translation without real-time.
With the increase of criticality level of the GPS applications, products manufacturers and developers are now requesting a relevant mean to predict performances and reliability of their future applications.