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When Drupal meets OpenData

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The document discusses the intersection of Drupal and open data, emphasizing the importance of making data freely accessible and usable without restrictions. It outlines the methodologies for creating and distributing open data using Drupal, detailing standard formats and phases involved in the process. Additionally, it highlights successful case studies and the benefits of utilizing Drupal for managing open data projects.

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When Drupal meets Opendata PHPDay 2011 - Social tag #phpday
Chi siamo?
Chi siamo? Stefano Mainardi, sviluppatore PHP, CEO di Twinbit e fondatore del network italiano ILDN Piacere di conoscervi! stefano@twinbit.it twitter : @stefanomainardi
Chi siamo? Paolo Mainardi, sviluppatore PHP, CTO di Twinbit e Stefano Mainardi, fondatore del network italiano sviluppatore PHP, CEO di ILDN Twinbit e fondatore del network italiano ILDN Piacere di conoscervi! Piacere di conoscervi! paolo@twinbit.it stefano@twinbit.it twitter : @paolomainardi twitter : @stefanomainardi
Chi siamo? Paolo Mainardi, sviluppatore PHP, CTO di Twinbit e Stefano Mainardi, fondatore del network italiano sviluppatore PHP, CEO di ILDN Twinbit e fondatore del network italiano ILDN Piacere di conoscervi! Piacere di conoscervi! paolo@twinbit.it stefano@twinbit.it twitter : paolomainardi twitter : stefanomainardi Piacere, io sono Drupal! :-)
Quanti di voi utilizzano Drupal?
Cosa sono gli “Open Data”?
definizione “accademica” Con Open Data si fa riferimento ad una filosofia, che è al tempo stesso una pratica, che implica che alcune tipologie di dati siano liberamente accessibili a tutti sul Web, senza restrizioni di copyright, brevetti o altre forme di controllo che ne limitino la riproduzione. da Wikipedia
e quindi?
http://www.flickr.com/photos/f7oor/405046410/
Data is a precious thing and will last longer than the systems themselves. Tim Berners-Lee http://www.flickr.com/photos/f7oor/405046410/ 1/2
I dati sono noiose scatole marroni, ed è così che ce li immaginiamo, no? Perché i dati di per sé non sono di immediata applicazione Ma in realtà, i dati determinano tantissime cose nelle nostre vite e ciò accade perché c’è qualcuno che prende quei dati e ne fa qualcosa. credits: Ernesto Bellisario “Come si fa OpenData” Tim Berners-Lee http://www.flickr.com/photos/f7oor/405046410/ 2/2
“Economia della conoscenza”
When Drupal meets OpenData
When Drupal meets OpenData
When Drupal meets OpenData
When Drupal meets OpenData
When Drupal meets OpenData
ma in italia cosa succede?
When Drupal meets OpenData
When Drupal meets OpenData
il movimento OpenData italiano http://linkedopendata.it/ http://spaghettiopendata.org/ http://datagov.it/ http://www.agoradigitale.org/ http://www.openpolis.it/
When Drupal meets OpenData
quali formati dobbiamo utilizzare?
.KML .XML .CSV .TXT .GTFS .JSON
.KML .XML .CSV .TXT .GTFS .JSON insomma, formati standard che siano machine readable l’importante è non far nascere un flame sui formati :-)
.KML .XML .CSV .TXT .GTFS .JSON
.KML .XML .CSV .TXT .GTFS .JSON Mobile Apps
.KML .XML .CSV .TXT .GTFS .JSON Mobile Apps Web Apps
.KML .XML .CSV .TXT .GTFS .JSON Mobile Apps Web Apps Data API
I dati sono il carburante, le applicazioni sono il mezzo
When Drupal meets OpenData
47 web, iPhone & Facebook Apps $2,300,000 risparmiati $50,000 il costo delle applicazioni +5000% in ROI
When Drupal meets OpenData
When Drupal meets OpenData
When Drupal meets OpenData
When Drupal meets OpenData
When Drupal meets OpenData
Perchè Drupal ?
Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy)
Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy) • Semplici interfacce di amministrazione per utenti non esperti (D7 UX)
Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy) • Semplici interfacce di amministrazione per utenti non esperti (D7 UX) • Semplice integrazione con i servizi di terze parti (CKAN, OpenCalais, OSM, Mapbox ecc..)
Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy) • Semplici interfacce di amministrazione per utenti non esperti (D7 UX) • Semplice integrazione con i servizi di terze parti (CKAN, OpenCalais, OSM, Mapbox ecc..) • Importanti case history governative di successo (List of Drupal sites in Government: http://groups.drupal.org/node/19885)
Perchè Drupal ?
Perchè Drupal ? •CCK - Fields in core
Perchè Drupal ? •CCK - Fields in core •Feeds
Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource
Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource •Geo Modules (Openlayers, Geofield)
Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource •Geo Modules (Openlayers, Geofield) •Supporto nativo per i Linked Data (RDFa)
Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource •Geo Modules (Openlayers, Geofield) •Supporto nativo per i Linked Data (RDFa) •SPARQL
Case history di successo http://data.worldbank.org
Case history di successo http://www.aquaknow.net
Case history di successo http://data.gov.uk CKAN Dataset Faceted Search by Apache Solr
Case history di successo http://www.openbelgium.be
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData.....
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition)
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole:
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte •Usare una licenza aperta
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte •Usare una licenza aperta •Usare formati aperti e semplici da processare automaticamente (CSV, XLS, XML, JSON)
Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte •Usare una licenza aperta •Usare formati aperti e semplici da processare automaticamente (CSV, XLS, XML, JSON) OpenDefinition: http://www.opendefinition.org/okd/ Open Data Commons: http://www.opendatacommons.org Cretive Commons: http://www.opendatacommons.org
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario DataTypes Vocabulary License Vocabulary
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario DataTypes Vocabulary License Vocabulary Fields
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form Taxonomy
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form Taxonomy Data properties
Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form Taxonomy Data properties Comments
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ?
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core x/html
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core x/html RDFa
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core x/html RSS RDFa
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules x/html RSS json xml rdf RDFa csv
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules x/html RSS json xml rdf RDFa csv Views + Views Datasource
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules charts x/html RSS json kml {$other formats} xml rdf RDFa csv Views + Views Datasource
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules charts x/html RSS json kml {$other formats} xml rdf RDFa csv http://drupal.org/project/modules Views + Views Datasource
Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? Posso essere anche solo un servizio per la tua applicazione: http://drupal.org/project/services XMLRPC, JSON, JSON-RPC, REST, SOAP, AMF, etc. core contrib modules charts x/html RSS json kml {$other formats} xml rdf RDFa csv http://drupal.org/project/modules Views + Views Datasource
Phase 2: Distribuire Open Data Views Example: Create a new display
Phase 2: Distribuire Open Data Views Example: Create a new display Filter by “data” type contents
Phase 2: Distribuire Open Data Views Example: Create a new display Select fields to print Filter by “data” type contents
Phase 2: Distribuire Open Data Views Example: Create a new display Print results on a table Select fields to print Filter by “data” type contents
Phase 2: Distribuire Open Data Views Example: Create a new display Print results on a table Select fields to print Filter by “data” type contents Expose search fields
Phase 2: Distribuire Open Data Views Example: Create a new display Output type Print results on a table Select fields to print Filter by “data” type contents Expose search fields
Phase 2: Distribuire Open Data Views Example: Results
Phase 2: Distribuire Open Data Views Example: Results Results
Phase 2: Distribuire Open Data Views Example: Results Exposed form Results
Phase 2: Distribuire Open Data Views Example: Results Exposed form Results RSS Export
Phase 2: Distribuire Open Data Views Example: Results Exposed form Results RSS Export Click to download in other formats!
Phase 2: Distribuire Open Data Example: Geo tools
Phase 2: Distribuire Open Data Openlayers module Example: Geo tools
Phase 2: Distribuire Open Data Openlayers module Example: Geo tools Drupal nodes
Phase 2: Distribuire Open Data Example: Geo tools Layer manager
Phase 2: Distribuire Open Data Example: Geo tools Layer manager
Phase 2: Distribuire Open Data Example: Geo tools Views Datasource (json) Layer manager
Phase 2: Distribuire Open Data Example: Apache Solr -- http://drupal.org/project/apachesolr
Phase 2: Distribuire Open Data Used on Drupal.org Example: Apache Solr -- http://drupal.org/project/apachesolr
Phase 2: Distribuire Open Data Used on Drupal.org Example: Apache Solr -- http://drupal.org/project/apachesolr Faceted Search
Phase 2: Distribuire Open Data Used on Drupal.org Example: Apache Solr -- http://drupal.org/project/apachesolr • Powerful text extraction Faceted Search • Multisite search • Attachment search
Phase 3: Data processing Feeds: http://drupal.org/project/feeds
Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher
Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher Pluggable parser
Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher Pluggable parser Pluggable processors
Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher Pluggable parser Pluggable processors
Phase 3: Data processing Feeds Parser Feeds Xpath Parser: http://drupal.org/project/feeds_xpathparser Feeds QueryPath Parser: http://drupal.org/project/feeds_querypath_parser Data importing projects http://drupal.org/project/migrate “The migrate module provides a flexible framework for migrating content into Drupal from other sources (e.g., when converting a web site from another CMS to Drupal)” http://drupal.org/project/data “Data module helps you model, manage and query related sets of tables. It offers an administration interface and a low level API for manipulating tables and accessing their contents. D module provides Views integration for displaying table data and Drupal search integration for searching table content.”
Linked Data http://groups.drupal.org/semantic-web http://www.w3.org/2001/sw/
RDF http://openspring.net/blog/2011/05/01/background-research-work-leading-to-rdf-in-drupal-7-released-as-part-of-my-masters
RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7
RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle...
RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle... • RDF UI: allows site administrators to specify the RDF mappings via a user interface
RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle... • RDF UI: allows site administrators to specify the RDF mappings via a user interface • Evoc: user interface to import vocabularies which can be used in RDF UI
RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle... • RDF UI: allows site administrators to specify the RDF mappings via a user interface • Evoc: user interface to import vocabularies which can be used in RDF UI This RDF data can be made available in a SPARQL endpoint with the SPARQL module.
SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data.
SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data. •SPARQL API module
SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data. •SPARQL API module •SPARQL Registry module
SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data. •SPARQL API module •SPARQL Registry module •SPARQL Endpoint module
LOD Cloud “Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
References The Semantic Web, Linked Data and Drupal, Part 1: Expose your data using RDF http://www.ibm.com/developerworks/web/library/wa-rdf/index.html?ca=drs- The Semantic Web, Linked Data and Drupal, Part 2: Combine linked datasets with Drupal 7 and SPARQL Views http://www.ibm.com/developerworks/web/library/wa-rdf/index.html?ca=drs- Background research work leading to RDF in Drupal 7 released as part of my Master's thesis http://openspring.net/blog/2011/05/01/background-research-work-leading-to-rdf-in-drupal-7-released-as-part-of-my-masters Background research work leading to RDF in Drupal 7 released as part of my Master's thesis http://openspring.net/blog/2011/05/01/background-research-work-leading-to-rdf-in-drupal-7-released-as-part-of-my-masters “Hi, I'm Lin Clark. I support open source and linked data.” http://lin-clark.com/
one more thing è in arrivo il primo contest italiano sugli OpenData http://www.appsforitaly.org/
Questions?
Rimaniamo in contatto! Stefano Mainardi Paolo Mainardi stefano@twinbit.it paolo@twinbit.it twitter : @stefanomainardi twitter : @paolomainardi
Grazie!

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When Drupal meets OpenData

  • 1. When Drupal meets Opendata PHPDay 2011 - Social tag #phpday
  • 3. Chi siamo? Stefano Mainardi, sviluppatore PHP, CEO di Twinbit e fondatore del network italiano ILDN Piacere di conoscervi! stefano@twinbit.it twitter : @stefanomainardi
  • 4. Chi siamo? Paolo Mainardi, sviluppatore PHP, CTO di Twinbit e Stefano Mainardi, fondatore del network italiano sviluppatore PHP, CEO di ILDN Twinbit e fondatore del network italiano ILDN Piacere di conoscervi! Piacere di conoscervi! paolo@twinbit.it stefano@twinbit.it twitter : @paolomainardi twitter : @stefanomainardi
  • 5. Chi siamo? Paolo Mainardi, sviluppatore PHP, CTO di Twinbit e Stefano Mainardi, fondatore del network italiano sviluppatore PHP, CEO di ILDN Twinbit e fondatore del network italiano ILDN Piacere di conoscervi! Piacere di conoscervi! paolo@twinbit.it stefano@twinbit.it twitter : paolomainardi twitter : stefanomainardi Piacere, io sono Drupal! :-)
  • 6. Quanti di voi utilizzano Drupal?
  • 7. Cosa sono gli “Open Data”?
  • 8. definizione “accademica” Con Open Data si fa riferimento ad una filosofia, che è al tempo stesso una pratica, che implica che alcune tipologie di dati siano liberamente accessibili a tutti sul Web, senza restrizioni di copyright, brevetti o altre forme di controllo che ne limitino la riproduzione. da Wikipedia
  • 11. Data is a precious thing and will last longer than the systems themselves. Tim Berners-Lee http://www.flickr.com/photos/f7oor/405046410/ 1/2
  • 12. I dati sono noiose scatole marroni, ed è così che ce li immaginiamo, no? Perché i dati di per sé non sono di immediata applicazione Ma in realtà, i dati determinano tantissime cose nelle nostre vite e ciò accade perché c’è qualcuno che prende quei dati e ne fa qualcosa. credits: Ernesto Bellisario “Come si fa OpenData” Tim Berners-Lee http://www.flickr.com/photos/f7oor/405046410/ 2/2
  • 19. ma in italia cosa succede?
  • 22. il movimento OpenData italiano http://linkedopendata.it/ http://spaghettiopendata.org/ http://datagov.it/ http://www.agoradigitale.org/ http://www.openpolis.it/
  • 24. quali formati dobbiamo utilizzare?
  • 25. .KML .XML .CSV .TXT .GTFS .JSON
  • 26. .KML .XML .CSV .TXT .GTFS .JSON insomma, formati standard che siano machine readable l’importante è non far nascere un flame sui formati :-)
  • 27. .KML .XML .CSV .TXT .GTFS .JSON
  • 28. .KML .XML .CSV .TXT .GTFS .JSON Mobile Apps
  • 29. .KML .XML .CSV .TXT .GTFS .JSON Mobile Apps Web Apps
  • 30. .KML .XML .CSV .TXT .GTFS .JSON Mobile Apps Web Apps Data API
  • 31. I dati sono il carburante, le applicazioni sono il mezzo
  • 33. 47 web, iPhone & Facebook Apps $2,300,000 risparmiati $50,000 il costo delle applicazioni +5000% in ROI
  • 40. Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy)
  • 41. Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy) • Semplici interfacce di amministrazione per utenti non esperti (D7 UX)
  • 42. Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy) • Semplici interfacce di amministrazione per utenti non esperti (D7 UX) • Semplice integrazione con i servizi di terze parti (CKAN, OpenCalais, OSM, Mapbox ecc..)
  • 43. Perchè Drupal ? • Una piattaforma pensata per fare Open Data (D7 RDFa, Nodes, Taxonomy) • Semplici interfacce di amministrazione per utenti non esperti (D7 UX) • Semplice integrazione con i servizi di terze parti (CKAN, OpenCalais, OSM, Mapbox ecc..) • Importanti case history governative di successo (List of Drupal sites in Government: http://groups.drupal.org/node/19885)
  • 45. Perchè Drupal ? •CCK - Fields in core
  • 46. Perchè Drupal ? •CCK - Fields in core •Feeds
  • 47. Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource
  • 48. Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource •Geo Modules (Openlayers, Geofield)
  • 49. Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource •Geo Modules (Openlayers, Geofield) •Supporto nativo per i Linked Data (RDFa)
  • 50. Perchè Drupal ? •CCK - Fields in core •Feeds •Views - Views datasource •Geo Modules (Openlayers, Geofield) •Supporto nativo per i Linked Data (RDFa) •SPARQL
  • 51. Case history di successo http://data.worldbank.org
  • 52. Case history di successo http://www.aquaknow.net
  • 53. Case history di successo http://data.gov.uk CKAN Dataset Faceted Search by Apache Solr
  • 54. Case history di successo http://www.openbelgium.be
  • 55. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData.....
  • 56. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition)
  • 57. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole:
  • 58. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte
  • 59. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte •Usare una licenza aperta
  • 60. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte •Usare una licenza aperta •Usare formati aperti e semplici da processare automaticamente (CSV, XLS, XML, JSON)
  • 61. Phase 1: Creare Open Data Qualsiasi contenuto è potenzialmente un OpenData..... “A piece of content or data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and share alike.” (Open Knowledge Definition) Seguiamo queste semplici regole: •Specificare la fonte •Usare una licenza aperta •Usare formati aperti e semplici da processare automaticamente (CSV, XLS, XML, JSON) OpenDefinition: http://www.opendefinition.org/okd/ Open Data Commons: http://www.opendatacommons.org Cretive Commons: http://www.opendatacommons.org
  • 62. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario
  • 63. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario
  • 64. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario DataTypes Vocabulary License Vocabulary
  • 65. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario DataTypes Vocabulary License Vocabulary Fields
  • 66. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario
  • 67. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form
  • 68. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form
  • 69. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form Taxonomy
  • 70. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form Taxonomy Data properties
  • 71. Phase 1: Creare Open Data Creare un nuovo content type ed un vocabolario Open data creation form Taxonomy Data properties Comments
  • 72. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ?
  • 73. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core x/html
  • 74. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core x/html RDFa
  • 75. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core x/html RSS RDFa
  • 76. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules x/html RSS json xml rdf RDFa csv
  • 77. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules x/html RSS json xml rdf RDFa csv Views + Views Datasource
  • 78. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules charts x/html RSS json kml {$other formats} xml rdf RDFa csv Views + Views Datasource
  • 79. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? core contrib modules charts x/html RSS json kml {$other formats} xml rdf RDFa csv http://drupal.org/project/modules Views + Views Datasource
  • 80. Phase 2: Distribuire Open Data Come posso distribuire i miei dati ? Posso essere anche solo un servizio per la tua applicazione: http://drupal.org/project/services XMLRPC, JSON, JSON-RPC, REST, SOAP, AMF, etc. core contrib modules charts x/html RSS json kml {$other formats} xml rdf RDFa csv http://drupal.org/project/modules Views + Views Datasource
  • 81. Phase 2: Distribuire Open Data Views Example: Create a new display
  • 82. Phase 2: Distribuire Open Data Views Example: Create a new display Filter by “data” type contents
  • 83. Phase 2: Distribuire Open Data Views Example: Create a new display Select fields to print Filter by “data” type contents
  • 84. Phase 2: Distribuire Open Data Views Example: Create a new display Print results on a table Select fields to print Filter by “data” type contents
  • 85. Phase 2: Distribuire Open Data Views Example: Create a new display Print results on a table Select fields to print Filter by “data” type contents Expose search fields
  • 86. Phase 2: Distribuire Open Data Views Example: Create a new display Output type Print results on a table Select fields to print Filter by “data” type contents Expose search fields
  • 87. Phase 2: Distribuire Open Data Views Example: Results
  • 88. Phase 2: Distribuire Open Data Views Example: Results Results
  • 89. Phase 2: Distribuire Open Data Views Example: Results Exposed form Results
  • 90. Phase 2: Distribuire Open Data Views Example: Results Exposed form Results RSS Export
  • 91. Phase 2: Distribuire Open Data Views Example: Results Exposed form Results RSS Export Click to download in other formats!
  • 92. Phase 2: Distribuire Open Data Example: Geo tools
  • 93. Phase 2: Distribuire Open Data Openlayers module Example: Geo tools
  • 94. Phase 2: Distribuire Open Data Openlayers module Example: Geo tools Drupal nodes
  • 95. Phase 2: Distribuire Open Data Example: Geo tools Layer manager
  • 96. Phase 2: Distribuire Open Data Example: Geo tools Layer manager
  • 97. Phase 2: Distribuire Open Data Example: Geo tools Views Datasource (json) Layer manager
  • 98. Phase 2: Distribuire Open Data Example: Apache Solr -- http://drupal.org/project/apachesolr
  • 99. Phase 2: Distribuire Open Data Used on Drupal.org Example: Apache Solr -- http://drupal.org/project/apachesolr
  • 100. Phase 2: Distribuire Open Data Used on Drupal.org Example: Apache Solr -- http://drupal.org/project/apachesolr Faceted Search
  • 101. Phase 2: Distribuire Open Data Used on Drupal.org Example: Apache Solr -- http://drupal.org/project/apachesolr • Powerful text extraction Faceted Search • Multisite search • Attachment search
  • 102. Phase 3: Data processing Feeds: http://drupal.org/project/feeds
  • 103. Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher
  • 104. Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher Pluggable parser
  • 105. Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher Pluggable parser Pluggable processors
  • 106. Phase 3: Data processing Feeds: http://drupal.org/project/feeds Pluggable fetcher Pluggable parser Pluggable processors
  • 107. Phase 3: Data processing Feeds Parser Feeds Xpath Parser: http://drupal.org/project/feeds_xpathparser Feeds QueryPath Parser: http://drupal.org/project/feeds_querypath_parser Data importing projects http://drupal.org/project/migrate “The migrate module provides a flexible framework for migrating content into Drupal from other sources (e.g., when converting a web site from another CMS to Drupal)” http://drupal.org/project/data “Data module helps you model, manage and query related sets of tables. It offers an administration interface and a low level API for manipulating tables and accessing their contents. D module provides Views integration for displaying table data and Drupal search integration for searching table content.”
  • 108. Linked Data http://groups.drupal.org/semantic-web http://www.w3.org/2001/sw/
  • 111. RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle...
  • 112. RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle... • RDF UI: allows site administrators to specify the RDF mappings via a user interface
  • 113. RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle... • RDF UI: allows site administrators to specify the RDF mappings via a user interface • Evoc: user interface to import vocabularies which can be used in RDF UI
  • 114. RDF http://drupal.org/project/rdfx http://drupal.org/project/rdf (d6) API http://api.drupal.org/api/drupal/modules--rdf--rdf.module/group/rdf/7 • RDFx: extends core RDF support by providing extra APIs and additional serialization formats such as RDF/XML, NTriples, Turtle... • RDF UI: allows site administrators to specify the RDF mappings via a user interface • Evoc: user interface to import vocabularies which can be used in RDF UI This RDF data can be made available in a SPARQL endpoint with the SPARQL module.
  • 115. SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data.
  • 116. SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data. •SPARQL API module
  • 117. SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data. •SPARQL API module •SPARQL Registry module
  • 118. SPARQL http://drupal.org/project/sparql SPARQL is a query language for pattern matching against RDF graphs. The syntax resembles SQL, making for a friendly learning curve, but SPARQL is far more powerful, enabling queries spanning multiple disparate (local or remote) data sources containing heterogeneous semistructured data. •SPARQL API module •SPARQL Registry module •SPARQL Endpoint module
  • 119. LOD Cloud “Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
  • 120. References The Semantic Web, Linked Data and Drupal, Part 1: Expose your data using RDF http://www.ibm.com/developerworks/web/library/wa-rdf/index.html?ca=drs- The Semantic Web, Linked Data and Drupal, Part 2: Combine linked datasets with Drupal 7 and SPARQL Views http://www.ibm.com/developerworks/web/library/wa-rdf/index.html?ca=drs- Background research work leading to RDF in Drupal 7 released as part of my Master's thesis http://openspring.net/blog/2011/05/01/background-research-work-leading-to-rdf-in-drupal-7-released-as-part-of-my-masters Background research work leading to RDF in Drupal 7 released as part of my Master's thesis http://openspring.net/blog/2011/05/01/background-research-work-leading-to-rdf-in-drupal-7-released-as-part-of-my-masters “Hi, I'm Lin Clark. I support open source and linked data.” http://lin-clark.com/
  • 121. one more thing è in arrivo il primo contest italiano sugli OpenData http://www.appsforitaly.org/
  • 123. Rimaniamo in contatto! Stefano Mainardi Paolo Mainardi stefano@twinbit.it paolo@twinbit.it twitter : @stefanomainardi twitter : @paolomainardi

Editor's Notes