Towards an Interface for User-Friendly

Linked Data Generation Administration

http://RML.io

Anastasia Dimou, Pieter Heyvaert, Wouter Maroy,

Laurens De Graeve, Ruben Verborgh, Erik Mannens

Ghent University – imec – IDLab

Linked Data Generation & Publication remain complicated

- for non Semantic Web experts or tech-savvy people

- if data from multiple heterogeneous sources are accessed via different interfaces

- it is long-lasting activity repeated periodically, adjusted & incrementally enriched

RML Workbench turn Linked Data Generation & Publication easy!

- minimize the effort & knowledge to administrate Linked Data generation & publication

- view & manage different sources of raw data that reside on diverse, distributed locations

- retrieve data from different access interfaces, in heterogeneous structures and formats

- mapping rules, including the data sources description, are exported & re-used by other tools

Access & Retrieve

Generate

Publish & Schedule