Visualization of non-EO data

To serve the social media data collected and analyzed in DeepCube to its end users in the most efficient and friendly manner, a dedicated Web application displays and filters posts relevant to the project’s use cases, in a variety of visualizations. Compared to related state of the art solutions, the DeepCube’s visualization tool offers advanced capabilities by: i) providing a dedicated API to access the collected tweets, available also for third-party modules, ii) extending visual and filtering capabilities, while improving the visualization’s scalability, and iii) including innovative analysis results in the visualizations.

In DeepCube, INFALIA aims at developing user interfaces that will demonstrate the collected social media data, offering multiple ways of visualisation and filtering. An online Web application will be designed and developed for displaying the data that will be served by an API. The API will communicate with a database where collected social media data will be stored so as to fetch the posts. Users will be able to visualise the posts either as a scrollable list of posts or as pop-ups on a map. In both views, analysis results, i.e. detected locations and visual concepts, will also be displayed per post. Moreover, the application will provide filtering capabilities, e.g. the option to show data published in a certain time period or to hide posts that do not contain an image.

Baseline of our work consists of the previous tools developed within the Horizon 2020 EOPEN project, which will be extended to include alternative views, more scalable filtering, and novel visual analytics.

Interested in learning more? Contact us!
Stefanos Vrochidis –
Ioannis Tsampoulatidis –