Sprint linked open_data_with_drupal
- 1. Linked Open Data with Drupal 1 sprint st http://drupal.cat Drupal.cat November 10th, 2012 Citilab, Cornellá
- 2. Plan del sprint 10h – 10h15: Introduction 10h15 – 10h45: brainstorming 10h45 – 11h: groups and tasks 11h – 12h: sprint (data analysis) 12h – 12h15: coffee break 12h15 – 13h30: sprint (data importation) 13h30 – 14h: Results and discussions
- 3. Introduction
- 4. Linked Open Data with Drupal Summary of the previous session (04/10/12) http://www.slideshare.net/emmanuel_jamin/linking-open-data-with-drupal - Open Data plaforms • Barcelona / Catalunya / Spain - Reuse Open Data to build rich web applications • Donde van mis impuestos, adopta una playa, etc. - Many Drupal modules to reuse Open Data • RDFx, SPARQL, SPARQL views, etc.
- 5. E – LODrupal Hackathon LOD hackathon General idea Publish LOD Datos.gob.es LOD Drupal Build applications Datos.gen.cat Barcelona Datos.Bcn LOD expertise OD integration LOD publication 1st Sprint 2nd Sprint
- 6. 1 Sprint → 2 Objectives Play with Open Data Find ideas and define and Drupal what we want to do - analyze different types of data - select interesting topics from Open Data Barcelona according to the datasets and Catalunya - Build the ODCAT module and - extract and import data data.drupal.cat - reuse and display imported - build social applications data
- 7. Before importing Open Data 1. List the available data • Cf. google doc 2. Analysis and evaluation of the datasets • Quality, topic, etc. 3. Selection of the dataset to be imported • Motivation, difficulty, etc. 4. List of the entities to be created
- 8. Steps to import Open Data 1. Create the Content type to fit with the data 2. Anticipate the fields type according to the reuse objectives • For mapping, scheduling, etc. 3. Create the Feeds structure to match the data source and the Content Type fields 4. Execute the importation • test and refine the data importation
- 9. Let's Go! - Brainstorming (30 min) - Groups and tasks (15 min) - Sprint 1 → Data analysis (1h) - Sprint 2 → Data importation (1h) - Results and discussion (30 min)
- 10. Have Fun!!!