An Introduction into JavaScript and Linked Data

This project is part of the course An Introduction into JavaScript and Linked Data at the Institute for Geoinformatics, Münster, which took place in winter term 2015/16.

This web-application focuses on Linked Data about the population of Münster, Germany. The Open Data was provided by the Amt für Stadtentwicklung, Stadtplanung, Verkehrsplanung (http://www.stadt-muenster.de/stadtentwicklung/zahlen-daten-fakten.html) and was converted into RDF-triples to demonstrate the Linked Data concept. The defined RDF-Schema can be also found in this repository (see: /schema). It contains

• the rdf-baseGeometry_schema.txt to provide the City, Distrcits and Citydistricts of Münster
• and the rdf-population_schema.txt to store the population-values.

The RDF-Schema is written in the RDF-Turtle-Syntax (https://www.w3.org/TR/turtle/). The created RDF-Data is stored in a Parliament triple store (http://parliament.semwebcentral.org). The application can filter and request the RDF-Data via AJAX and visualized it in different styles on an interactive map:

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Contributors

Du Guiying
Thapa Pawan
Nicholas Schiestel
André Wieghardt

Steps to build and run the application

1. Install NodeJS: https://nodejs.org/en/
2. Open a terminal and move with command cd to the directory of the project
3. Install the Node-Packages with command sudo npm install
4. Create a new folder in /public/lib (by command-line mkdir /public/lib)
5. Install Bower sudo npm install -g bower
6. Move with command cd /public to the directory public
7. Install Bower-Packages with command bower install
8. Move with command cd ../ back to the directory of the project
9. Run NodeJS-Server with the command node server.js
10. Open a web-browser and go to localhost:8080
11. (You also need a Parliament triple store with the stored RDF-Data)

Minified version

To run the application as the minified version, just use the command node server.js minified to run the NodeJS-server

License

This Linked Open Data Application by Guiying Du, Nicholas Schiestel, Pawan Thapa, André Wieghardt is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.