1. A JOURNEY TO
LINKED OPEN
TOURISTIC DATA
Johan Delaure (Program manager)

6. 1. An open data model
2. Open data
3. An interactive sharing platform
4. A self correcting community
An open sustainable data
ecosystem requires

7. AGENDA
A tour to Touristic data
Open and Linked
Itinerary:
• Landscape
• Industry
• Architecture
• Tourists
• What to pack?
• Destination

8. THE LANDSCAPE

9. Data originate in a distributed environment
There are aggregations at different levels:
• Cities
• Province
• Region of Flanders
• Region of Wallonia
• Brussels
• Belgium
There are different streams for
• hotels/b&b,
• restaurants,
• cultural events,…
The landscape (as is)
W VL
O VL
VL B
A
L
Toerisme
Vlaanderen

10. Aggregation perspectives:
1. Geographical
2. Sectoral : accommodation
(‘logiesdecreet’)
3. Target audience : foreign countries
versus home

15. WORK PROCESS APPROACH

16. • Owners
• Exploitation managers
• Event organizers
• Local agency
• Regional agency
• National agency
• …
• Publishers
• Public
Touristic data originate
decentralised
Aggregate

17. • Deduplication
• Authenticate source
• Structuring
• Editing
• Verification
• Linking
• …
Touristic data need curation
Aggregate
Curate

18. Output
• For aggregations
• For links and relations
• For added value arrangements
• For translations
• To incorporate in local datasets
• To be enriched
Touristic data are travelling
around:
Aggregate
Curate
Share

19. • Propietary websites
• APIs
• Other websites
• Agencies
• Analytics and Statistics
Touristic data are published
on:
Aggregate
Curate
Share
Publish

20. In a
• continuous
• interlinked
• process
• with different agents
But they are managed in silos
Touristic data are generated
Aggregate
Curate
Share
Publish

21. DATA ARCHITECTURE

22. Offering Experience
Availability
Statistics
• What do we provide information on?
• What kind of things (properties) do we
typical want to say about the instances
we want to describe?
• = domain model
• = ontology
• = semantic model
http://tourism.openknowledge.be/spec/
One sector, one language

23. Offering Experience
Availability
Statistics
• Attraction
• Event
• Lodging
• Mice (Meetings, incentives,
conferencing and exhibitions)
• Reca (Restaurants, cafe’s, related
businesses and facilities)
• Regional Product
• Route (Bike, walk,…)
• Factoid
http://tourism.openknowledge.be/spec/
Types

24. Offering Experience
Availability
Statistics
• Photographs
• Location, address
• Arrangements
• Reviews
• Similar
• ‘Arrangements’
• Translations
• Social media
Multiple sources:

25. Offering Experience
Availability
Statistics
• Compliant with an abstract model
• Highly structured
• Intended for reuse
But they are managed in silos
Touristic data are:

26. THE USE APPROACH

27. Taste
Time
Location
Budget
• Specific Location
• Specific theme
• Specific time
• Specific budget
• Specific qualities
• In a specific language
We are looking for….

28. Taste
Time
Location
Budget
• Consistency
• Context sensitivity
• Guidance to what is feasible
• Personal re-use
• Share
But we would like….

29. Taste
Time
Location
Budget
• Contextualised
• Linking to more
• Reusable
But they are presented in silos
We want our touristic data:

30. GOVERNANCE

31. • Sub optimal
• Inefficient
• Expensive
= a disposable data economy
Our current governance for
touristic data is

32. Paradigm shift in the governance:
• True on my desktop -> true in the
world
• Static consolidation -> dynamic re-
use
• Book -> Wiki
Allow to re-use
An open sustainable data
ecosystem requires:

33. Open Platform
• Linked data
• Re-use linked data
• User friendly
• Open source
• API
• Tooling
An open sustainable data
ecosystem requires:

34. Westtoer: definition of pipelines

35. Westtoer: data pipelines

36. Westtoer: reuse on the web

37. Example of a workflow app

39. Example of a workflow app (3)

42. OUR DESTINATION

43. Data
• Open structure
• For open data
Data community
• Sharing
• Self corrective
Data platform
• = User friendly
• = Open source
• = APIs
• = Scalable
Open use
Open
Platform
Open Data

44. Enjoy travelling
linked data !
Thank you