1. Graph Data on the Web: extend the pivot, don’t reinvent the wheel
Olivier Corby et al.
Inria – Wimmics team

2. Think in terms of an “RDF 2.0”
RDF and Property Graphs are not in opposition
They are requirements for an RDF 2.0 specification
RDF 2.0 backward compatible with RDF 1.1 stack of standards
There should not be another stack of graph data standards
URI, IRI, URL, HTTP URI
JSON
RDF
JSON LD
N-Triple
N-Quad
Turtle/N3
TriG
RDFS
OWL
SPARQL
XML
HTML
RDF XML
HTTP
Linked Data
CSV-LD
R2RML
GRDDL
RDFa
SHACL
LDP
Fabien Gandon, A Survey of the First 20 Years of Research on Semantic Web and Linked Data, 2018

3. Make Graph Data Interoperable
Additional argument to triples
Modality, timestamp, provenance, uncertainty
Triple as subject or object of triple
Assign URI to Triple
Named graph with entailment regime Graph Data Entailment
List datatype value
SPARQL based rule language for RDF : construct where
NB: AI on the Web requires knowledge-level interoperability

4. Secured and Trusted Graph Data Distribution
Generalize SPARQL service clause to other sources that deliver RDF graph data
Annotate SPARQL query with list of SPARQL endpoints URI
Semantics for SPARQL federated queries : bnode, named graph, duplicate results, property path, etc.
Standard canonical RDF graph representation
Signing RDF graph

5. Graph Data Developer Friendly and Viewable
API for graph data
RDF graph style sheets à la CSS and Fresnel
Transformation Language for RDF
Linked Data Script Language
cf. open source Corese semantic Web factory and server since 1999: