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Linked Open Data
                   with Drupal

1 sprint
  st



             http://drupal.cat

Drupal.cat             November 10th, 2012   Citilab, Cornellá
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
Introduction
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.
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
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
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
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
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)
Have Fun!!!

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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
  • 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)