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A journey to Linked Open Touristic Data

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Presentation by Johan Delaure at Open Belgium 2018 - http://2018.openbelgium.be/session/journey-linked-open-touristic-data

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A journey to Linked Open Touristic Data

  1. 1. A JOURNEY TO LINKED OPEN TOURISTIC DATA Johan Delaure (Program manager)
  2. 2. 1. An open data model 2. Open data 3. An interactive sharing platform 4. A self correcting community An open sustainable data ecosystem requires
  3. 3. AGENDA A tour to Touristic data Open and Linked Itinerary: • Landscape • Industry • Architecture • Tourists • What to pack? • Destination
  4. 4. THE LANDSCAPE
  5. 5. 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
  6. 6. Aggregation perspectives: 1. Geographical 2. Sectoral : accommodation (‘logiesdecreet’) 3. Target audience : foreign countries versus home
  7. 7. WORK PROCESS APPROACH
  8. 8. • Owners • Exploitation managers • Event organizers • Local agency • Regional agency • National agency • … • Publishers • Public Touristic data originate decentralised Aggregate
  9. 9. • Deduplication • Authenticate source • Structuring • Editing • Verification • Linking • … Touristic data need curation Aggregate Curate
  10. 10. 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
  11. 11. • Propietary websites • APIs • Other websites • Agencies • Analytics and Statistics Touristic data are published on: Aggregate Curate Share Publish
  12. 12. In a • continuous • interlinked • process • with different agents But they are managed in silos Touristic data are generated Aggregate Curate Share Publish
  13. 13. DATA ARCHITECTURE
  14. 14. 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
  15. 15. 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
  16. 16. Offering Experience Availability Statistics • Photographs • Location, address • Arrangements • Reviews • Similar • ‘Arrangements’ • Translations • Social media Multiple sources:
  17. 17. Offering Experience Availability Statistics • Compliant with an abstract model • Highly structured • Intended for reuse But they are managed in silos Touristic data are:
  18. 18. THE USE APPROACH
  19. 19. Taste Time Location Budget • Specific Location • Specific theme • Specific time • Specific budget • Specific qualities • In a specific language We are looking for….
  20. 20. Taste Time Location Budget • Consistency • Context sensitivity • Guidance to what is feasible • Personal re-use • Share But we would like….
  21. 21. Taste Time Location Budget • Contextualised • Linking to more • Reusable But they are presented in silos We want our touristic data:
  22. 22. GOVERNANCE
  23. 23. • Sub optimal • Inefficient • Expensive = a disposable data economy Our current governance for touristic data is
  24. 24. 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:
  25. 25. Open Platform • Linked data • Re-use linked data • User friendly • Open source • API • Tooling An open sustainable data ecosystem requires:
  26. 26. Westtoer: definition of pipelines
  27. 27. Westtoer: data pipelines
  28. 28. Westtoer: reuse on the web
  29. 29. Example of a workflow app
  30. 30. Example of a workflow app (3)
  31. 31. OUR DESTINATION
  32. 32. 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
  33. 33. Enjoy travelling linked data ! Thank you

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