USE CASE
...


MILESTONES:

• (M1) Development/tweaking of the demo workflows and execution in (a) Kepler and (b) Taverna.   -- done but they only work in mockup mode (maybe Lei/Daniel/Saumen to do sth about that)
  • (D1) Executable demo-workflows in  (a) Kepler (2x3) and (b) Taverna (3)
  •  TO-DO: LINK THEM from the "Deliverables & Products" pages!
    
    
• (M2) Export of provenance information of (M1) from Kepler, Taverna
  • (D2) Trace files (in XML? RDF?  LOD?) from (a) Kepler and (b) Taverna  runs.
    
    
• (M3) Shared Conceptual Model designed.
  • (D3) Shared Provenance Store (SPS):  Conceptual Schema
    
    
• (M4) Provenance Store (SPS) implemented and accessible (could reuse an existing e.g. OPM or Linked Data Store)
  • (D4) Provenance Repository:  Relational (or other implementation) Schema
    
    
• (M5) commit-trace-to-PS implemented for (a) Kepler and (b) Taverna.
• (D5) Mapping description from (a)  Kepler and (b) Taverna MoPs to the PR schema.
• 
  
• (M6) Execute simple provenance queries against the PS; visualize results.
• (D6) Description/explanation of  the demo-provenance queries (e.g. in QLP? or SPARQL?)
  
  

DELIVERABLES:

• 
  
• SPS architecture &  implementation schema
  
  
• SPS implemented
• Schema Mappings (via Datalog)
• stitching via OPM artifacts
• references to data need to be ...
• "owl:same-as" 
• Data Identification (common naming scheme)
• 
  
• OPM "profiles" (or just annotations)

Walkthru / Life-cycle

• 0 (wf design / development)
• 1 bind data and parameters
• 2 run wf
• 3 publish wf results (i.e., output data)
• 4 (publish wf specification) --- may be optional / but may be inferrable
• 5 publish input data and params ---  
• 6 publish trace
• 7 query trace
•  
  • 
    
  • 
    
  • These should include at least
    •  "find all sources/sinks in the provenance graphs, reachable from given node"
    • selected "deep provenance" queries, i.e., spanning multiple runs, multiple users etc.
    • (see also queries in Ilkay's IPAW paper; especially new Section 3)
  • (D7) Publish paper(s) on findings
    
    
    
    

SPREADSHEET:

Vocabulary Table
Glossary
Conceptual Model
Storage Schema(s)
Implementation A
Implementation B


eScience Paper ideas:
- include distinction: references &D vs actual data *D
- include in traces a second naming scheme for data identifiers