| At line 59 added 2 lines. |
| + *** Merging data sets tagged with concepts (Jones, Peet) |
| + |
| Lines 62-66 were replaced by lines 64-73 |
| - ** Semantic Mediation / Knowledge Representation Breakout |
| - *** Merging data sets tagged with concepts (Jones, Peet) |
| - *** Knowledge Representation |
| - **** Overview of progress on ontologies |
| - ***** Discussion of ontology work to be done |
| + ** Knowledge Representation / Annotation Breakout |
| + *** Overview of charge (Schildhauer, 15 minutes + 15 minutes discussion) |
| + *** GrOWL ontology editor (Krivov, 15 minute presentation + 15 minute discussion) |
| + *** Status of existing ontologies (Madin, 30 minutes presentation + 30 minutes discussion) |
| + * 10:30-10:45 __Break__ |
| + *** Working exercise: building annotations |
| + **** Target case studies: ENM and Biodiversity |
| + **** Start as whole group, discuss actor/data annotation needs and differences |
| + **** Possibly break into subgroups to work on annotations |
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| Lines 73-78 were replaced by lines 80-90 |
| - ** Semantic Mediation / Knowledge Representation Breakout |
| - *** Semantics in Kepler |
| - **** Annotation |
| - **** Discovery |
| - **** Validation |
| - **** Integration |
| + ** Semantic Mediation / Data Integration Breakout |
| + *** Overview of charge (Ludaescher, 15 minutes + 15 minutes discussion) |
| + *** SCIA integration in Kepler Wang, 15 minute presentation + 15 minute discussion) |
| + *** Working exercise: data integration approaches |
| + **** Case study requirements for integration |
| + **** Simple "smart" concatenation |
| + **** Extending to more complex (and realistic) examples |
| + **** Adequacy of annotations and ontologies for integration |
| + **** Scalability of 'knowledge reasoner' approaches (e.g., incorporating instance data) |
| + ***** Discuss developing an 'integration plan' from the reasoner that is implemented in another system (e.g., R) |
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