15. Factory metaphor
PUSH: make to stock
PULL: make to order
Output and efficiency oriented
exact needs of user secondary
User needs oriented
production costly
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16. How can we reduce the time
and cost?
Data factory
PUSH: make to stock
PULL: make to order
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How good is the data for
your application?
18. Open Data Node platform
http://opendatanode.org/
Methodology for publishing Open Data
http://www.comsode.eu/index.php/deliverables/
Moving from one-off to sustainable data publishing
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http://unifiedviews.eu/
19. Key requirements for integration step
Sustainable
Quality control
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Your data Integrate Access Deploy
API
Enrich
25. Other alignment techniques
fuzzy string matching
join matches on multiple attributes
similarity in the hierarchy (skos:broader)
select best candidate (most generic/specific term)
....
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27. Key requirements integration step checked
Quality control
• Model link strategy out of (simple) building blocks
• Iterative process (trial and error)
• Exploration of the source data
• Direct access to the results
• Evaluate the subsets
Sustainable
• Export links and link strategy
• Provenance of the process is explicit in the strategy
• Rerun after update of datasets
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35. Key requirements access step checked
Model complex search problems
• Search strategy out of (simple) building blocks
• No programming required
Combine graph queries and ranking
• Integrated triple store and search index
• Probabilistic graph database
• Building blocks for graph queries
• Building blocks for search and ranking
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36. Your data Enrich Link strategy
API
DeploySearch strategy
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The lean approach
37. Breakout
What kind of functionality would you like to provide to your users?
1. What kind of data do you want to make accessible in a richer way?
2. What additional (open) data can you use for this enriched access?
3. What type of (search) functionality is required?
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