Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Towards an Interface for User-Friendly Linked Data Generation Administration


Published on

Linked Data generation and publication remain challenging
and complicated, in particular for data owners who are not Semantic Web experts or tech-savvy. The situation deteriorates when data from multiple heterogeneous sources, accessed via different interfaces, is integrated, and the Linked Data generation is a long-lasting activity repeated periodically, often adjusted and incrementally enriched with new data. Therefore, we propose the rmlworkbench, a graphical user interface to support data owners administrating their Linked Data generation and publication workflow. The rmlworkbench’s underlying language is rml, since it allows to declaratively describe the complete Linked Data generation workflow. Thus, any Linked Data generation workflow specified by a user can be exported and reused by other tools interpreting RML.

Published in: Technology
  • Be the first to comment

Towards an Interface for User-Friendly Linked Data Generation Administration

  1. 1. Towards an Interface for User-Friendly Linked Data Generation Administration 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