Example on how to use Linked Open Data (LOD).
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README.md

LOD_example

Example on how to use Linked Open Data (LOD). Have a look at: http://borrob.github.io/LOD_example/ or at http://ordinageoict.cloudapp.net/apps/rob.van.loon/lod_voorbeeld/index.html

Demo

This is a simple demo application that shows some basic Linked Open Data (LOD) principles. It uses the ['Basisregistratie Adressen en Gebouwen'] (http://www.kadaster.nl/bag) to search for a building using the zipcode and housenumber. The contour of the building is shown on the map. As a second step, the neighbourhood of the building is located and some basic statistics of this neighbourhood are shown. These statistics are derived from [Statistics Netherlands] (http://www.cbs.nl/en-GB/menu/home/default.htm).

Bars

One of the statistics is the average number of bars with a 1 km radius of the neighbourhood. Off course people will wonder: 'so where are these bars?' To answer that question, I also added a layer with 'pubs'. Theze location are extracted from the [OSM] (http://openstreetmap.org)} API and the pubs around the area are plotted as vector data on the map.

Software

This website uses html, javascript and css. Three javascript libraries are used:

  1. [jQuery] (https://github.com/jquery/jquery): for general functionality
  2. [OpenLayers] (https://github.com/openlayers/ol3): to create the map and all its functionality
  3. [proj4js] (https://github.com/proj4js/proj4js): to deal with coordinate transformations

[Purce.css] (https://github.com/yahoo/pure/) makes the page look nice.

Techniques

It's all html, css and javascript. To obtain the data from the Linked Data Stores, there ise SPARQL and TURBO involved.

Data

This website makes use of open data from the [PILOD project] (http://www.pilod.nl/), from [PDOK] (http://www.pdok.nl), and from [Openstreetmap] (http://openstreetmap.org].)