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Advancements in Provenance for Large-Scale Science Workflows

This presentation discusses the critical role of provenance in supporting large-scale scientific workflows. It explores how data, metadata, and ontologies can enhance the trustworthiness of scientific results, facilitate data reuse, and provide insight into the processes that generate scientific data. The importance of interpretation in scientific workflows is emphasized, highlighting the need for automated and social processes to establish trust in data services. Join us as we delve into case studies and tools such as CombeChem and Smart Tea, illustrating the integration of e-science methodologies.

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Advancements in Provenance for Large-Scale Science Workflows

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  1. David De Roure dder@ecs.soton.ac.uk http://www.semanticgrid.org/presentations/ProvSemGrid.ppt Workflows in Support of Large-Scale Science Provenance, a matter of interpretation

  2. Science might be like this… Video Simulation Properties Analysis StructuresDatabase Diffractometer X-Raye-Lab Propertiese-Lab Grid Middleware HPDC Workshop

  3. Virtual Learning Environment Reprints Peer-Reviewed Journal & Conference Papers Technical Reports LocalWeb Preprints & Metadata Institutional Archive Publisher Holdings Certified Experimental Results & Analyses Data, Metadata & Ontologies But is really like this… Undergraduate Students Digital Library Graduate Students E-Scientists E-Scientists E-Scientists Grid Entire E-Science CycleEncompassing experimentation, analysis, publication, research, learning E-Experimentation HPDC Workshop

  4. myGrid Combechem • Wish to reuse • Data • Services • Knowledge • Software • Practice • Anticipated use • Unanticipated use HPDC Workshop

  5. HPDC Workshop

  6. HPDC Workshop

  7. Describing the Semantic Web • It’s the Web of Data. Data is what’s in databases. Imagine it’s linked up like documents are linked up on the Web. • Imagine a spreadsheet where you can import data about anything from anywhere. • RDF is to data what HTML is to documents. HPDC Workshop

  8. HPDC Workshop

  9. CombeChem Smart Tea www.smarttea.org HPDC Workshop

  10. HPDC Workshop

  11. Smart Lab Snapshot HPDC Workshop

  12. HPDC Workshop

  13. HPDC Workshop

  14. Discussion • Provenance for • Regulation, but also… • Interpretation, to facilitate reuse • How do we trust data? • How do we trust the services and workflows that generate the data? • How will workflows be discovered and published? • A social process? But a more automated process. • Good work going on! • See IPAW 2006 HPDC Workshop

  15. Provenance log entry 351901: No matches found Provenance log entry 351902: User made utterance of class "rude" Provenance log entry 351903: User "Prince Charming" logged out “Next customer please. This is the glass slipper provenance service. Please swipe your slipper."

  16. Contacts • David De Roure – Semantic Grid dder@ecs.soton.ac.uk • Jeremy Frey – CombeChem j.g.frey@soton.ac.uk • Carole Goble – Semantic Grid carole@cs.manchester.ac.uk • See www.semanticgrid.org • See www.aktors.org HPDC Workshop

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