Linked Data Next

Platform Linked Data Nederland
26 November, Utrecht

My Tenses

• Past
• Past Present
• Present Future
• Future Future

Past

• RDF 1.1, OWL 2, SPARQL 1.1 etc.
• Turtle, TriG, N-Triples & N-Quads.

Past

• RDF 1.1, OWL 2, SPARQL 1.1 etc.
• Turtle, TriG, N-Triples & N-Quads.
• JSON-LD

Past

• RDF 1.1, OWL 2, SPARQL 1.1 etc.
• Turtle, TriG, N-Triples & N-Quads.
• JSON-LD

Thank you RDF WG

Past

• RDF 1.1, OWL 2, SPARQL 1.1 etc.
• Turtle, TriG, N-Triples & N-Quads.
• JSON-LD

Thank you RDF WG

10 Years of Success! (notes from Leipzig), write up & link to video from SemTechBiz

Past Motivation

• Technically simple (highly impactful)
  • DCAT (2014)
  • SKOS (2009)
  • R2RML (2012)
  • Linked Data
  • URIs as (technology neutral) identifiers
• Very complicated
  • Life sciences, especially genomics
  • Data analysis
• Sectors
  • Government
  • Cultural heritage
  • Life sciences
  • Financial industry
  • Intelligence, Defence and Security
  • Media
  • Emergency response (Bart van Leeuwen)
  • Malware detection
  • Multilingual Web/machine translation

Check out the jobs on semanticweb.com

Past Present

• The Data Activity
• CSV on the Web
• Data on the Web Best Practices
• Linked Data Platform

LDP

• Supports CRUD development using Linked Data
• Using HTTP verbs to shift triples around (PUT, GET, PATCH, DELETE etc.)
• Want to play? See CIMBA
  • You retain control of your data, not the service provider
  • Presentation (PDF)
  • video

Past Present

• Data Shapes
  • RDF Validation
  • UI generation
  • SPARQL performance improvement

Present Future

• Spatial Data on the Web
  • Close cooperation with OGC (see Linda for details)
  • Spatial Data on the Web Best Practices
  • OWL Time Ontology (updating and completing work on the original)
  • Semantic Sensor Network (picking up work done in the previous Incubator Group)
  • Coverage in Linked Data — sounds like a case for the Data Cube
• Linked Data Platform II
• Vocabulary management & provision

Future Future

• Manufacturing supply chain data:
  • component specifications;
  • food ingredients, food labelling;
  • fine-grained access control (some data is commercially sensitive).
• Scientfic research data:
  • understanding & enrichment;
  • automated linking, NER;
  • developer-freindly access & visualisation;
  • revenue model.

Future Future

What would you do next?

Future Future

What would you do next?

http://www.w3.org/2014/Talks/1126_phila_pldnl/

Phil Archer <phila@w3.org>

@philarcher1