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Creating Topic Maps Ontologies for Space Experiments

Creating Topic Maps Ontologies for Space Experiments. David Damen TMRA 2009, Leipzig, Germany. ULISSE. European FP7 project “Improve the exploitation of results from space experiments”. E-USOC. Data Providers. Scientific Disciplines. Why Topic Maps?. Large variety in background knowledge

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Creating Topic Maps Ontologies for Space Experiments

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  1. Creating Topic Maps Ontologies for Space Experiments David Damen TMRA 2009, Leipzig, Germany

  2. ULISSE • European FP7 project • “Improve the exploitation of results from space experiments”

  3. E-USOC Data Providers

  4. Scientific Disciplines

  5. Why Topic Maps? • Large variety in background knowledge • More natural expression of knowledge

  6. Ontology Creation - Original Analysis Startup Drafting Interaction Design Verification End-user

  7. Ontology Creation - Adaptations Analysis Startup Drafting Interaction Design Verification End-user

  8. Ontology Creation - ULISSE Preparation Analysis Draft Refinement Ontology Workshops • Iteration 1 • Iteration 2

  9. Ontology Workshops • 9 Ontology Workshops • 27 scientists and engineers involved

  10. Ontology Workshops • Day 1: • Present Topic Maps • Learn about the domain • Day 2: • Dump domain knowledge • Day 3: • Structure domain knowledge

  11. Know Your Stuff • You are the expert • Be prepared for tricky questions

  12. Sell Topic Maps • Do not assume: • Prior knowledge • Willing acceptance

  13. Know Your Audience • Your domain experts: • Scientists? • Software Engineers? • Electrical Engineers? • Business people? • …?

  14. Be a facilitator • Use domain examples: • Make it easier to follow • Show domain understanding • Let them talk • Use tools they already know

  15. Gradually introduce Topic Maps concepts • Do not try to push everything from the start • Try to remember your first encounters with Topic Maps

  16. It’s ok to be scared or nervous • Trust your preparations • Trust yourself • Be prepared to be wrong

  17. Domain experts are nervous too • Probably more than you, but not at first • How well do they know their domain?

  18. Results

  19. Results – Fluid Science

  20. Results - Physiology

  21. Results – General Space Experiments Experiment project educational • Status should be a closed list. The following statuses are proposed: • selected • scheduled - under implementation • launched • active • analysis • completed status acronym report producer produces product Experiment output project encountered event Experiment Anomaly project plans protocol Experiment protocol protocol defines setup Experiment setup Time Interval whole consists-of part Experiment run project imposes constraint Boundary/Limitation condition

  22. Conclusions • Transfer Topic Maps throughout the consortium • Using simple tools raised the involvement • Managing the ontologies across tools is hard

  23. Future Work • Ontologies as TMCL • Incorporate the ontology creation workflow in ScienceCast

  24. Questions?

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