http://2015.semantics.cc/michiel-hildebrand

1. ENRICH > LINK > SEARCH
The lean approach for advanced search applications over linked data
Michiel Hildebrand
Semantics Conference Vienna 2015

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3. Do you see value in open data?
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4. Do you think that open data could improve
the access to your own data?
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5. Have you integrated open data with your own data?
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6. Have you created an application on top of your
integrated data?
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7. The billion $ Open Data example
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8. Cultural Heritage: advanced access through (Open) Data
multi-lingual
location-based
recommendation
personalization
advanced ranking
analytics
http://www.getty.edu/research/tools/vocabularies/aat/ 8

9. multi-lingual
location-based
recommendation
personalization
advanced ranking
analytics
Cultural Heritage: advanced access through (Open) Data
http://www.vistory.nl/
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10. Cultural Heritage: advanced access through (Open) Data
multi-lingual
location-based
recommendation
personalization
advanced ranking
analytics
query logs
content-based
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11. Cultural Heritage: advanced access through (Open) Data
multi-lingual
location-based
recommendation
personalization
advanced ranking
analytics
http://manovich.net/
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12. Historic newsreels and photographs
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13. Demo: Linked Open Images
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http://link.spinque.com/openbeelden

14. Can we build this in a day?
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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?

17. The lean approach
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Your data Integrate Access Deploy
API
Enrich

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

20. Integrating historic newsreels with photographs
GTAA thesaurus (SKOS)NIOD subject terms (SKOS)
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21. preferred label
antisemitisme
spionage
amnestie
...
preferred label
antisemitisme
spionage
amnestie
...
NIOD subject terms GTAA thesaurus
preferred label = preferred label
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22. prefered label alternative label
politieagenten agenten
militaire parades parades
optochten parades
prefered label
agenten
parades
NIOD subject terms
GTAA thesaurus
Introduces ambiguity
preferred label = alternative label
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23. prefered label
dodenherdenking
hamsteren
NIOD subject terms GTAA thesaurus
Introduces errors
prefered label
dodenherdenkingen
hamsters
singular label = plural label (stemming)
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24. prefered label
dieren
graven
NIOD subject terms
GTAA thesaurus
filter sources
prefered label concept scheme
dieren subject terms
dieren geographical names
graven subject terms
grave geographical names
subject ≠ location (noise)
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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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26. Demo Spinque LINK
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http://cultuurlink.beeldengeluid.nl/app/#/tutorial/tutorial_niod_start

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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28. Dutch National Strategy Digital Heritage
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29. CultuurLINK
a free service for the cultural heritage domain
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http://cultuurlink.beeldengeluid.nl/

30. Rijksmuseum Amsterdam integrated multilingual vocabularies
http://www.rijksmuseum.nl/nl/collectie/BK-NM-1010 http://www.getty.edu/research/tools/vocabularies/aat/ 30

31. Key requirements for access step
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Your data Integrate Access Deploy
API
Enrich
Model complex access (search)
Combine graph queries and ranking

32. Already three types of search in a simple app
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keyword search location-based search recommendation

33. multilingual
location-based
recommendation
personalization
ranking
analytics
Probabilistic Graph Database
Building blocks (SPINQL)
Search by Strategy
Advanced search applications with Spinque
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34. Demo Spinque Search
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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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38. Other applications: Restaurant inspections
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39. Other applications: Community platform
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