Visual Analytics

CODE will develop a highly usable and flexible visualization platform on the basis of single HTML5 visualisation components to empower non-IT experts to analyse, integrate and organise data.

CODE will develop new, semantically enriched interface components that allow building web-based visual analytics applications. Such components do not exist currently, but will allow for better data analysis applications in the web. For CODE, they will be essential to involve humans in creating, analysing, integrating and organising data sets. The following targets will be achieved:

  1. Ontology driven HTML 5 GUI components to automatically bind Linked Data to user interfaces.
  2. Semantic descriptions for user interface composition.
  3. A framework to easily combine single components into visual analytics interfaces.

The user interfaces will ensure two core features of CODE’s Linked Open Data Store:

  1. Visually supported, collaborative analysis of Linked Open Data will allow users to organise, filter, aggregate and summarize relevant information provided through enrichment and integration.
  2. Publishing of aggregated and summarized data in the LOD cloud. Depending on the targeted revenue model of the user, only parts of the data sets or data set descriptions will be made available for free.

Besides visual interfaces, data stemming from the analysis will be also made available via APIs. CODE will rely on open standards, in particular SPARQL, and seek collaboration with existing API oriented data marketplaces like Factual, Timetric and Talis for automatically creating proprietary APIs on particular subsets of the data. The consortium already maintains links to those data marketplaces.