Tag Archives: LODUM

Demo and Poster today @ESWC2012

Today on May 29th a poster and a demo will be presented at the 9th Extended Semantic Web Conference (ESWC2012) related to Linked Science and LODUM projects. The poster and the demo will be presented next to each other at the Posters and Demos session for your convenience.

The poster

is about  Sharing and Analyzing Remote Sensing Observation Data for Linked Science and presents the Linked Brazilian Amazon Rainforest project. Below is a figure illustrating how to interact with these large amounts of Linked Spatiotemporal Data to support understanding of the ecological, social and economical dimensions of sustainable development. For more information see also the Triangle of Sustainability project.

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The demo

is about the Linked Open Data University of Münster – Infrastructure and Applications (see also the data portal)The idea 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. The productivity map shown as a video below 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 KML file is also available for download—just open it up in Google Earth to explore the productivity map.

 

Demo and poster at ESWC2012

There will be a poster and a demo presented at the 9th Extended Semantic Web Conference (ESWC2012) related to Linked Science and LODUM projects:

 

Linked Open University of Muenster (LODUM) productivity map

 

 

Analyzing and Visualizing Productivity of a University

Originally posted by Carsten Keßler at Lodum.de.

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]