1. Taxonomy-Driven Web UI
By Borys Omelayenko, Ph.D.

2. Borys Omelayenko Architect at SoftServe Innovation Experience in data
Big Heterogeneous Data
Business Intelligence
Data Mining
Innovation
Ph.D. degree & research
In the Semantic Web
VU University Amsterdam
World TOP 100
Experience in data
Linked
Heterogeneous

3. en.wikipedia.org/wiki/Social_network_analysis

5. Talk about UI We build UI on top of these graphs
Compare two use cases of autocomplete and search results
Search flat data (SOLR)
Search linked data (graph-based)
Taxonomies
What are they
What to expect
How to get them
How to make use of them
How to link taxonomies to your data

6. Travel scenario Taxonomy Place Reviews Museum Artifacts Nice Cannes
France
Title
Category
Location
Pot
Cooking
Lyon
Axe
Tools
Paris
Church
Building
Sofia
Location
User
Rating
France
Anna

Sofia
John 
Paris
Peter
Côte d'Azur
Nice
Cannes
Label
Ppl.
Paris
2.1m
Sofia
1.2m

7. Taxonomies What are they, practically? Database Database Taxonomy
Title
Category
Location
Pot
Cooking
Paris
Axe
Tools
Lyon
Church
Building
Sofia
Location
User
Rating
Paris
Anna

Sofia
John 
Peter
Label
Ppl.
Paris
2.1m
Sofia
1.2m

8. Terms ‘Paris’ and ‘Kharkiv’
Reasonable definition of what a place is 7
This world is more dynamic than we think

9. Term ‘Human’

10. Chemical
Source:

11. Drug
Source:

12. Taxonomy is a quick way to add value to your web site
Is an additional database
Focused
Specialized
Made by somebody else for a different purpose
Looks irrelevant to your project
You may even not be aware of it
You want to use it
It can quickly add up to your data
Drag your data out of isolation lining it to the world
Taxonomy is a quick way to add value to your web site
Next: three use cases

13. Case 1 Searching plain data
Search a database table and show results

14. Europeana Central in EU digital culture Web portal, as of approx. 2010
Founded by the European Commission
Push cultural sector into the digital age
Web portal, as of approx. 2010
Aggregator for thousands museums/archives
43 m objects
Each is a record with a dozen text fields
Stored and searched using SOLR
This is as it was in 2015, it has changed since then

15. Search: женщина париж Source: europeana.eu (retrieved June 2015)
Pulled from record field ‘Title’
Standard UI based on SOLR autocomplete
MISLEADING!

16. Source: europeana.eu (retrieved June 2015)
Search results

17. Object page: женщина париж
Source: europeana.eu (retrieved June 2015)
Object page: женщина париж
How did we found it?

18. Enriched SOLR records France
Documents from Paris, don’t need to mention ‘France’, they will still be found on a query for ‘France’
Île-de-France
Broader for ‘woman’
Paris
Population structure
Структура населения
Paris 04
Paris
Woman
SOLR record
France
Франция
Frankrijk
Paris
Париж
Parijs
Orphelinat des postes …
Woman
Женщина
Vrouw

19. Case 2 Search linked data
Taxonomy
Museum Artifacts
Place Reviews
France
Title
Category
Location
Pot
Cooking
Lyon
Axe
Tools
Paris
Church
Building
Sofia
Location
User
Rating
France
Anna

Sofia
John 
Paris
Peter
Côte d'Azur
Nice
Cannes
Label
Ppl.
Paris
2.1m
Sofia
1.2m

20. Museums MultiMedian Link together Dutch R&D project
Pure academic research, very applied
Completed in 2006
Link together
A dozen museum databases
A dozen vocabularies

21. Source: e-culture.multimedian.nl (retrieved June 2015)
How to navigate?

22. Graph scheme Derain name (label) Person author worked in worked at
Portrait of Matisse
title
made in
Artefact
Style
Modern
participated at
made at
held at
associated with
Place
Event
label
More-or-less AAT structure
Paris

23. Autocomplete Searches these databases Groups Combines them into
Source: e-culture.multimedian.nl (retrieved June 2015)
Autocomplete
Searches these databases
Groups
Artefacts (data documents)
Terms
Combines them into
Informative autocomplete

24. Derain Source: e-culture.multimedian.nl (retrieved June 2015)
Clustered results
Derain
Lets search
‘London’:
Link: geonames.org/
Search: ‘London’

25. Take home message Ten years ago Now Ten years later
No business
No tools
Too expensive to take off
Research prototypes
Now
Networked business is picking up
Recent cool case: Panama papers
Basic tools are getting useable
Business is ready for networked solutions
Ten years later
We all be talking connected data, IoT
Mature tools, similar to nowadays text search tools
New giants, like graph-based search engines
They promised us colonies on Mars, but gave Facebook