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Technologies
Operating System
Data Management System
- Small distributed relational databases: PostgreSQL + PostGIS
- Mapping of relational data to RDF:
- 2 W3C recommandations from the RDB2RDF Working Group:
- Direct Mapping: RDB to RDF Mapping
- R2RML: RDB to RDF Mapping Language
- [RDB2RDF implementations]:
- 2 W3C recommandations from the RDB2RDF Working Group:
Name | Language | Mapping language | Licence | Comment |
---|---|---|---|---|
D2RQ | Java | D2RQ mapping language | Free | |
OpenLink Virtuoso RDF Views | C | Virtuoso Meta Schema Language | Free | Mapping to external database only available in commercial version |
R2RML Parser | Java | R2RML | Free | |
Ontop | Java | R2RML | Free | Exist as a Protégé plugin |
rdb2rdf | Python | Direct mapping | Free | |
Triplify | PHP | Direct mapping | Commercial | |
R2D2 | PHP | D2RQ mapping language | Free | |
RDF4J aka Sesame + r2rml-api-rdf4j-bridge | Java | Free |
- RDF triplestore and SPARQL endpoint:
See also:
- What are the pros and cons of RDB2RDF tools? on Stack Overflow
- converter2rdf on the W3C wiki
- Graph DataBase on Wikipedia
Web Server
Back end
- Python framework (Django)
- Server-side JavaScript framework (NodeJS + MongoDB)
- PHP framework (Symfony or CakePHP)
- Java framework (Java Server Faces)
Front end
- HTML5
- CSS3 framework (Bulma) + CSS preprocessor (SASS/LESS)
- JavaScript + jQuery
- Slippy Map (OpenLayers3)
- Dynamic tables (Datatables)
- Datepicker (jQuery UI)
- Iconset (FontAwesome)
Dataviz
- D3 for sets, graphs and tree structures
- ElasticSearch + Kibana
- Jupyter
Continuous Integration
- Build automation tools
- CI Server