Semantic Web and Drupal 7
Stéphane Corlosquet
ESIP webinar
June, 2013
About the speaker
● Stéphane “scor” Corlosquet
● 7 years with Drupal
● Software engineer
● Drupal 7 RDF core maintainer
● ...
The Semantic Web
The Web today
Many information silos
Image credits: www.pidgintech.com
Many isolated and disparate communities
Image credits: www.pidgintech.com
Growing amount of information
● Blogs, News, Comments
● Social platforms: Facebook, Google plus
● Everyday more and more c...
What do machines see?
Challenge:
How can machines help us
search all this information?
Vision of the Semantic Web
● Transition to the Giant Global Graph
● WWW = content+links
● GGG = WWW+relationships+descript...
Evolution of the Web
The One Machine
● All devices connected
● Personal computers
● Data servers
● Cell phones
● PDAs
● RFID tags
http://www.kk...
Key
● Agree on Standards
● Open Data
Linked Data
Linked Open Data Cloud
LOD cloud by domain
Distribution of triples by domain.
Source: Linking Open Data cloud staistics, by Richard Cyganiak and ...
LOD cloud providers
● BBC
● US Census
● UK Gov
● Music Brainz
● Dbpedia
● Wikidata (WikiMedia foundation, funded by Google...
Rich Snippets
Google
Yahoo!
Bing
Structured Data in HTML
● Helps machines extract
relevant data from HTML
● Can make use of this data
in new ways:
– enhanc...
Structured Data in HTML
● HTML attributes
● Syntaxes
– Microformats (@class, @rel)
– RDFa (@property, @typeof, @resource…)...
Schema.org
Schema.org
● Describe the type of your content (Person,
Event, Recipe, Product, Book, Movie, etc.)
– 416 types and countin...
Credits: Dan Brickley - link.
Schema.org
How does schema.org apply to Drupal?
● Content types
Schema.org module for Drupal
● Map your content types and fields to the
schema.org terms
http://drupal.org/project/schemao...
Content types and Fields
Content types and Fields
Content types and Fields
Rich Snippet testing tool
● http://www.google.com/webmasters/tools/richsnippets
Schema.org module
● http://drupal.org/project/schemaorg
– UI for mapping content types and fields to schema.org
– Document...
RDF architecture
in Drupal 7
Architecture
● User driven data model
Content types and Fields
Content types and Fields
Node
Drupal 7 and RDF
● The RDF mapping API allows any vocabulary
● Default mappings on blogs, forums, comments,
etc. using FOA...
Drupal 7 default RDF mappings
Drupal 7 core RDF limitations
● No schema.org out of the box
● No UI for managing the RDF mappings
● Only core fields are ...
Drupal 7 and RDF
● Contributed module for more features
● RDF Extensions
● Serialization formats: RDF/XML, Turtle, N-Tripl...
Drupal and SPARQL
RDF store + SPARQL Endpoint
● Indexing
Module: https://drupal.org/project/rdf_indexer
Documentation: https://drupal.org/no...
RDF store + SPARQL Endpoint
● Public endpoint available at /sparql
RDF store + SPARQL Endpoint
● Lessons learnt:
– Previous implementation didn't scale
– http://drupal.org/project/sparql is...
RDF store + SPARQL Endpoint
● Functionalities
– RDF Indexer is built on top of Search API
– Search API offers many of the ...
RDF store + SPARQL Endpoint
● Example: popular tags by comments
– http://openspring.net/sparql
PREFIX dc: <http://purl.org...
How to get involved
● Drupal group:
– http://groups.drupal.org/semantic-web
● IRC on freenode: #drupal-rdf
● Report bugs o...
Thanks!
● Stéphane Corlosquet:
– scorlosquet@gmail.com
– @scorlosquet
– http://openspring.net/
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Drupal and the Semantic Web - ESIP Webinar

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An update on the latest semantic web modules for Drupal, in particular the RDF Indexer for provide a SPARQL endpoint of Drupal's RDF data.

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Drupal and the Semantic Web - ESIP Webinar

  1. 1. Semantic Web and Drupal 7 Stéphane Corlosquet ESIP webinar June, 2013
  2. 2. About the speaker ● Stéphane “scor” Corlosquet ● 7 years with Drupal ● Software engineer ● Drupal 7 RDF core maintainer ● Drupal Security Team member ● Co-authored the Definitive Guide to Drupal 7 ● Contrib modules: RDF Extensions, SPARQL, schema.org, WebID ● Member of the RDFa WG at W3C
  3. 3. The Semantic Web
  4. 4. The Web today
  5. 5. Many information silos Image credits: www.pidgintech.com
  6. 6. Many isolated and disparate communities Image credits: www.pidgintech.com
  7. 7. Growing amount of information ● Blogs, News, Comments ● Social platforms: Facebook, Google plus ● Everyday more and more content is published ● Desktop, laptops, tablets, smartphones... ● Sensor data for weather, traffic, healthcare ● Billions of public pages ● Deep web?
  8. 8. What do machines see?
  9. 9. Challenge: How can machines help us search all this information?
  10. 10. Vision of the Semantic Web ● Transition to the Giant Global Graph ● WWW = content+links ● GGG = WWW+relationships+descriptions ● Universal medium for data, information and knowledge exchange
  11. 11. Evolution of the Web
  12. 12. The One Machine ● All devices connected ● Personal computers ● Data servers ● Cell phones ● PDAs ● RFID tags http://www.kk.org/thetechnium/archives/2007/11/dimensions_of_t.php
  13. 13. Key ● Agree on Standards ● Open Data
  14. 14. Linked Data
  15. 15. Linked Open Data Cloud
  16. 16. LOD cloud by domain Distribution of triples by domain. Source: Linking Open Data cloud staistics, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/
  17. 17. LOD cloud providers ● BBC ● US Census ● UK Gov ● Music Brainz ● Dbpedia ● Wikidata (WikiMedia foundation, funded by Google, etc.) ● Freebase (Google)
  18. 18. Rich Snippets
  19. 19. Google
  20. 20. Yahoo!
  21. 21. Bing
  22. 22. Structured Data in HTML ● Helps machines extract relevant data from HTML ● Can make use of this data in new ways: – enhanced search results – Knowledge graph ● Search engines only index HTML
  23. 23. Structured Data in HTML ● HTML attributes ● Syntaxes – Microformats (@class, @rel) – RDFa (@property, @typeof, @resource…) – Microdata (@itemscope, @itemtype, @itemprop, …)
  24. 24. Schema.org
  25. 25. Schema.org ● Describe the type of your content (Person, Event, Recipe, Product, Book, Movie, etc.) – 416 types and counting ● Each type has a set of properties – Common properties: name, description, image, url – Specific properties depending on the type (see type page on schema.org) – 544 properties and counting
  26. 26. Credits: Dan Brickley - link.
  27. 27. Schema.org
  28. 28. How does schema.org apply to Drupal? ● Content types
  29. 29. Schema.org module for Drupal ● Map your content types and fields to the schema.org terms http://drupal.org/project/schemaorg
  30. 30. Content types and Fields
  31. 31. Content types and Fields
  32. 32. Content types and Fields
  33. 33. Rich Snippet testing tool ● http://www.google.com/webmasters/tools/richsnippets
  34. 34. Schema.org module ● http://drupal.org/project/schemaorg – UI for mapping content types and fields to schema.org – Documentation on drupal.org – Screencast + examples
  35. 35. RDF architecture in Drupal 7
  36. 36. Architecture ● User driven data model
  37. 37. Content types and Fields
  38. 38. Content types and Fields
  39. 39. Node
  40. 40. Drupal 7 and RDF ● The RDF mapping API allows any vocabulary ● Default mappings on blogs, forums, comments, etc. using FOAF, SIOC, DC, SKOS ● Drupal 7 core outputs these mappings in RDFa ● Mappings can be changed to include other vocabularies like schema.org
  41. 41. Drupal 7 default RDF mappings
  42. 42. Drupal 7 core RDF limitations ● No schema.org out of the box ● No UI for managing the RDF mappings ● Only core fields are supported (text, file, image) – No support for contrib fields: addressfield, fivestar ● No native support for Views or Panels – Display suite 2.0 is OK ● Some contrib modules can help fix the above ● Drupal 8 to fix these many of these issues
  43. 43. Drupal 7 and RDF ● Contributed module for more features ● RDF Extensions ● Serialization formats: RDF/XML, Turtle, N-Triples ● Mapping UI ● RDF Indexer ● Expose Drupal RDF data in a SPARQL Endpoint ● SPARQL Views ● Display remote RDF data in Drupal using SPARQL ● JSON-LD ● Expose Drupal RDF data as JSON-LD (CORS-enabled) ● Features and packaging ● Build distributions / deployment workflow
  44. 44. Drupal and SPARQL
  45. 45. RDF store + SPARQL Endpoint ● Indexing Module: https://drupal.org/project/rdf_indexer Documentation: https://drupal.org/node/2028111
  46. 46. RDF store + SPARQL Endpoint ● Public endpoint available at /sparql
  47. 47. RDF store + SPARQL Endpoint ● Lessons learnt: – Previous implementation didn't scale – http://drupal.org/project/sparql is deprecated (unless you use the SPARQL registry with other modules) – Use https://drupal.org/project/rdf_indexer instead – Documentation: https://drupal.org/node/2028111
  48. 48. RDF store + SPARQL Endpoint ● Functionalities – RDF Indexer is built on top of Search API – Search API offers many of the capabilities needed: ● Track entities that need to be indexed ● Workflows ● Integration with Drush (list, status, clear, index) ● Cron ● OOP – Service class for plugins – Integration with Features (config management)
  49. 49. RDF store + SPARQL Endpoint ● Example: popular tags by comments – http://openspring.net/sparql PREFIX dc: <http://purl.org/dc/terms/> PREFIX sioc: <http://rdfs.org/sioc/ns#> SELECT ?tag sum(?replies) as ?total_replies WHERE { ?post sioc:num_replies ?replies. ?post dc:subject [ rdfs:label ?tag ] . } GROUP BY ?tag ORDER BY DESC(?total_replies)
  50. 50. How to get involved ● Drupal group: – http://groups.drupal.org/semantic-web ● IRC on freenode: #drupal-rdf ● Report bugs or ask support questions on drupal.org
  51. 51. Thanks! ● Stéphane Corlosquet: – scorlosquet@gmail.com – @scorlosquet – http://openspring.net/

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