This module covers the whole spectrum of Linked Data production and exposure. After a grounding in the Linked Data principles and best practices, with special emphasis on the VoID vocabulary, it covers R2RML, operating on relational databases, Open Refine, operating on spreadsheets, and GATECloud, operating on natural language. Finally it describes the means to increase interlinkage between datasets, especially the use of tools like Silk.
Keywords: Linked Data, Linked Data Principles, Dataset, RDF, Relational Model, R2RML, HTTP URIs, SPARQL endpoint, VoID, Open Refine, GATECloud, Silk
Publisher: EUCLID Project
Time required: P3H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: mixed
- Knows relevant resources for discovering existing Linked Data datasets.
- Registers datasets with relevant services for discovery.
- Uses available vocabularies for dataset description to support their discovery.
- Understands a named graph as one of the collection of graphs comprising an RDF dataset, with a graph name unique in the context of that dataset.