A journey to Linked Open Touristic Data
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The document discusses the development of a sustainable ecosystem for touristic data that emphasizes open data models, decentralized data curation, and an interactive sharing platform. It outlines the challenges faced in aggregating, authenticating, and managing touristic data across various sectors and geographical regions while advocating for a paradigm shift towards dynamic, reusable linked data. The proposed solution includes user-friendly tools, APIs, and an open-source platform to enhance accessibility and collaboration within the tourism industry.
A journey to Linked Open Touristic Data
- 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
- 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
- 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
- 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
- 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