1. Open Provenance Model Tutorial Session 4: Use cases from data.gov.uk

2. Outline Background about data.gov.uk The use cases – XML serialization – Data transformation on the fly – Complex and nested processes

3. data.gov.uk Linking UK government data Aims: – Provide a set of best practices for government agencies – Provide the minimum set of tooling and specification to facilitate the publication of data – Encourage “responsible” data publishing

4. XML -> RDF XSLT Processor XSLT Parameter Binding XSLT Parameter Binding XSLT Stylesheet XSLT Template input output RDF File Who, when, which version, how

5. XSLT Processor input output RDF File XSLT Parameter Binding XSLT Parameter Binding XSLT Stylesheet XSLT Template Downloaded from; Unzipped from, etc Made accessible Who, when, which version, how

6. On-the-fly Transformation Data transformation wrapper http://mytransportatio.db/j10 Who, when, which version, how

7. Complex Data Creation Pipeline GATE Pipeline GateXMLRegressionTransformation GateXMLRdfaTransformation RdfaRdfXmlTransformation Courtesy of Paul Appleby from TSO (Data Enrichment Service)

8. Complex Data Creation Pipeline GATE Pipeline GateXMLRegressionTransformation GateXMLRdfaTransformation RdfaRdfXmlTransformation Document Reset PR ANNIE English Tokeniser ANNIE English Splitter ANNIE POS Tagger Data.gov.uk Morphological Analyzer Data.gov.uk Flexible Roof Gazetteer Data.gov.uk Generic Gazeteer GATE Noun Phrase Chunker Data.gov.uk Generic Transducer TSO Coreference Courtesy of Paul Appleby from TSO (Data Enrichment Service)

9. wasGeneratedBy hasParentProcess iterationOfProcess Level 1: Provenance of execution at higher level Level 0: Provenance of execution at detailed level Services used by executions Artifacts followed wasDerivedFrom A data collection wasTriggeredBy accessedService

10. Non-digital Data Objects Organizations – Organizational structure changes over time – Origin organization, resulting Organization Boundary Legislation An organization ontology: http://www.epimorphics.com/public/vocabulary/org.html

11. The Challenges Data of different representations, of physical forms, of granularity Not tooling support Provenance across different types of systems – Identification – Different terminologies

12. The Gaps A vocabulary being able to describe provenance of all types of data, from different systems A vocabulary still providing enough terms to describe provenance accurately

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