Big Data Challenge

We announce a Data Challenge as a part of the Workshop on GIScience in the Big Data Age 2012 (GIBDA2012). The winner will be awarded a $250 price sponsored by 52North and will present at the workshop, in Columbus, Ohio, USA. September 18th.

Here is a description of the Data Challenge:

The website contains a growing collection of metadata for proceedings of conferences on topics related to geographic information science. So far, it contains most of the metadata for the GIScience, COSIT, ACM GIS, and AGILE conference series. Within the GIBDA Data Challenge, we are looking for

  • innovative analyses of the data
  • interactive visualizations
  • approaches for cleaning the data up
  • pattern and topic mining
  • enrichment and interlinking with other datasets (e.g., from the Linked Data cloud)
  • insights into GIScience as research field
  • adding social roles and aspects

The raw data can be queried via SPARQL using the SPARQL endpoint Submissions to the data challenge are to be submitted through EasyChair as a brief description of the entry, along with a link to the demo/analysis/dataset. Entries to the challenge will be evaluated by the program committee based on innovativeness and potential impact. The winner will be awarded a $250 price sponsored by 52North and will present at the workshop. Submissions due: 18. June 2012, see GIBDA2012 Workshop pages for more details.

Organizers of the Data Challenge


Analyzing and Visualizing Productivity of a University

Originally posted by Carsten Keßler at

One of the main goals of Linked Open Data University of Muenster (LODUM) project is to open up the university’s data silos, integrate the data, and make it easy to build applications on top of the data collection. This productivity map for Google Earth is an example of such an application. It renders the university buildings in 3D – the building height indicates the number of publications written by researchers working in the respective building.

The absolute number of papers is normalized by the number of researchers working in the given building for a more balanced impression. The buildings are split in two parts:

  1. the lower part indicates the number of journal papers, and
  2. the upper part represents all other publications.

Clicking either of these two parts opens a pop-up with the actual numbers. The distribution of publications between the different institutions in a building is visualized as a pie chart (generated by the Google Chart Tools). The pop-ups also include links to the SPARQL queries to pull the data for the given building out of our store, so that interested developers can learn how we built this map.

The KML file is also available for download—just open it up in Google Earth to explore the productivity map.

The following publication explains the visualization. Please use it for citing the project.

Carsten Keßler and Tomi KauppinenLinked Open Data University of Münster – Infrastructure and ApplicationsIn Demos of the 9th Extended Semantic Web Conference (ESWC2012), Heraklion, Greece, May, 2012. [BibTeX]