![ULISSE ,[object Object],[object Object],01/18/10](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Recommended
More Related Content
More from tmra
More from tmra (20)
Recently uploaded
Recently uploaded (20)
Creating Topic Maps Ontologies for Space Experiments
- 1. Creating Topic Maps Ontologies for Space Experiments David Damen TMRA 2009, Leipzig, Germany 01/18/10
- 3. Data Providers 01/18/10 E-USOC
- 6. Ontology Creation - Original 01/18/10 Startup Analysis End-user Drafting Interaction Design Verification
- 7. Ontology Creation - Adaptations 01/18/10 Startup Analysis End-user Drafting Interaction Design Verification
- 18. Results 01/18/10 Task Tool Result Enumeration (identifying terms) Microsoft Excel Word List Categorization (grouping terms) CMapTools Concept Map Organization (modelling taxonomical relationships) CMapTools Concept Map Organization (modelling ontological relationships) CMapTools Concept Map Organization (transforming into Topic Maps Notation, including Scopes, Roles, Occurrences) Microsoft PowerPoint Ontology in simplified GTM notation
- 19. Results – Fluid Science 01/18/10 Eckmann number I of characteristic number X educational AT unary AT: of experiment X electric pole TT AT: "hardware" "composed-of" "electric pole" X electrical conductivity I of physical property electrical power TT of current. AT: "experiment" "uses" "electrical power" X electromagnetic force TT subtype of body force X energy TT variable/parameter (cfr.velocity, temperature) engine TT AT: "hardware"/"facility" "composed-of" "engine" X environmental temperature I of boundary condition X equation TT AT: "mathematical model" "is-made-up-of" "equation"; AT:"mathematical model" "is-made-up-of" "boundary condition" ESA I of space agency X evaporation I of physical phenomenon X experiment TT instances are FASES, … AT: "experiment" "is-performed-in" "exp. Facility". AT: "experiment" "studies" "physical phenomenon" X experiment output TT AT: "experiment" "produces" "experiment output" X experiment result TT AT: "experiment" "produces" "experiment result" X experiment setup TT AT: "experiment" "describes" "experiment setup" X
- 20. Results - Physiology 01/18/10
Editor's Notes
- 11 Data Providers (10 USOCs + 1 Research Centre)
- 7 scientific disciplines: Material Science Fluid Science Cell Biology Plant Biology Solar Physics Physiology Technology
- And lots of experience at SpaceApps
- The original Ontology Creation Workflow as designed by L.M. Garshol.
- Changes made to the Ontology Creation Workflow as designed by L.M. Garshol: Move End-user phase into Analysis phase Remove Interaction Design phase Also (not shown): Perform Draft phase during Ontology Workshop Used simplified GTM for notation.
- The updated Ontology Creation Workflow as used in ULISSE.
- 9 workshops over 2,5 months 27 scientists/engineers involved
- 3-day session Day 1: Present Topic Maps, Learn about the domain Day 2: Dump Domain Knowledge Day 3: Structure Domain Knowledge
- Make sure you understand Topic Maps Technology Story : Workshop @ CNES, lots of tricky questions
- Give lots of examples Use examples that “work” Do not expect domain experts to just accept that Topic Maps is the right solution.
- For ULISSE: mostly scientist/engineers Different kinds of domain experts will have different backgrounds that you can take into account
- Switch to examples of the domain as quickly as possible. Let domain experts talk. You can make suggestions and keep them on course, but once they get going, do not interfere. Afterwards, summarize what they said when you note it down to make sure you understood it correctly. Use tools they already know (typically, Microsoft Office).
- First we told everything in one presentation. Afterwards we first focus on Topics and Associations when structuring domain knowledge, and we gradually brought in Occurrence Types, Role Types and Scopes.
- Scared and nervous myself before each workshop. Trust your preparations. Trust yourself. You will make wrong suggestions.
- For them it might even be worse, but they don’t always know in advance. Domain experts are confronted with their own knowledge of the domain. Story : Some domain experts likened it with being a student again.
- Part of the word list for Fluid Science
- Part of the concept map for Physiology Experiments
- Part of the General Space Experiments Ontology.
- Be prepared to make suggestions that turn out wrong a lot.