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RDF Generation and Linking using Open Refine Daniel Vila-Suero

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Presentation on theme: "RDF Generation and Linking using Open Refine Daniel Vila-Suero"— Presentation transcript:

1 RDF Generation and Linking using Open Refine Daniel Vila-Suero

2 Introduction Learn how to use Open Refine and its RDF extension Map tabular data to RDF Link entities to a external dataset

3 Overview 3

4 Installation Download Open Refine at: Download the RDF Extension at:

5 Installing the RDF Extension Make sure "extensions" folder exists in your Google Refine workspace Download the extension Extract the downloaded zip file to the "extensions" folder Start/Restart Google Refine

6 Data Download available at: museum/phm-collection-cleaned.zip

7 Task 1 Inspect the data Pre-process if neccesary

8 Task 2 Using the RDF extension map the data to RDF using a selection of vocabularies

9 Task 3 Using a reconciliation service try to find entities within your data that have URIs in other dataset. For example the LCSH (Library of Congress Subject Heading) with the following configuration: Name: LCSH (preprocessed) Endpoint URL: Graph URI: processed/ Type: Virtuoso Label properties: check only skos:prefLabel

10 Publish Load the data in a SPARQL endpoint (Virtuoso, 4store, Fuseki, Sesame, etc.) Install and configure a LD front-end: Recommended: Puelia (PHP), Elda (Java) Configurable using a config file in turtle Documentation available at: https://code.google.com/p/linked-data- api/wiki/Specification 10


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