The document discusses integrating Drupal, an open-source content management system, with a triple store to enable semantics-driven publishing of open data at scale. Existing approaches in Drupal concentrate on embedding RDFa from its internal data model and depend on arc2, which lacks SPARQL 1.1 support and scalability. The proposed approach uses RESTful calls from Drupal to a triple store via SPARQL to access data beyond Drupal's entity model, enhancing pages. This allows Drupal to publish much larger, semantically enriched open data on topics like 200+ countries, 400-500 disciplines, and 10,000+ athletes.

1. Integrating Drupal with aTriple Store:
A New Chapter for Open Data
Barry Norton, Solutions Architect
Ontotext (UK), London
SemWeb Meet-up, DC, April 2013
A New Chapter for Open Data

2. Genesis of Semantics-driven Publishing
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3. Semantics-driven Publishing Scaled Up
Much larger scope:
• 200+ Countries
• 400-500
Disciplines
• 10 000+ Athletes
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• 10 000+ Athletes

4. Architecting a production deployment of
semantic publishing in finance
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5. Drupal
• Existing
semantics
concentrate on
RDFa from
internal model
• Depends on arc2
library:library:
– No SPARQL 1.1
– Low scalability
– No upward
migration path
for
performance
and resilience
5

6. Drupal for semantics-enhanced
publishing
• RESTful
calls via
SPARQL
• Data
beyondbeyond
entity
model
enhances
pages
6
Sesame

7. Example Source Data
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8. Example Source Data
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9. Example Enhanced Content
9

10. Example Enhanced Content
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