Linked Data for Tourism
Irem Önder, Marta Sabou, Adrian M.P. Brasoveanu
How many tourists arrive to the top 3
largest cities of Austria in 2012?
 Information needs:
 Which are the top 3 larges...
Two data sources
TourMIS

Vienna: city in Austria

Dbpedia
Wikipedia as Linked Data

Vienna: city in Austria
Top 3 Austrian Cities’ Total Arrivals in 2012

© 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna

4
Do the arrivals have similar trend with GDP of
source markets?
TourMIS

© 2013 MODUL University Vienna - TourMIS Workshop ...
Arrivals and GDP of source markets

Russia
China
Brazil
India
Hungary
Croatia
Italy
UK
Germany
USA

Arrivals

© 2013 MODUL...
Linked Data
A set of technologies to say that:
Entity in Database 1

TourMIS#Wien

“IS THE SAME AS”
Entity in Database 2

...
© 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna

8
Web
Linked Data: May ‘07 2.0

 Sept. ‘11

Media

Publications
eGovernment
Cross-Domain

Geographic

< 31 Billion Triples
...
Linked Data at MODUL
(2012)

© 2011 MODUL University Vienna

10
Use Case - Tourism Decision Making

 Types of decisions





Predict future demand for tourism services
Benchmarking ...
Tourism Indicators
Source Markets
Capacity

Arrivals
Bednights
Destination

© 2013 MODUL University Vienna - TourMIS Works...
Tourism indicator providers
UNWTO Eurostat WorldBank

TourMIS

Country

Y

Y

Y

N

Destination

N

N

N

Y

Year

Y

Y

Y...
Difficult Data Integration
 Critical for supporting decision makers BUT
hampered both at syntactic and semantic level
 S...
TourMIS Data





Arrivals, Bednights, Capacity indicators
From 1985 onwards
154 EU destinations and 19 markets
Annual...
Ontology

© 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna



~1 million triples
Data subset contains:
 1586 Arrivals measurements, 1985-2012, all destinations, annual
values, to...
© 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
So what?
 A data access infrastructure to solve syntactic
differences and foster data integration (done)
 Links allow ea...
Next Steps
Exposing Tourism Indicators as High Quality Linked Data
(ETIHQ)
Ontology
HTML
D2R

TourMIS

Applica3on

DBpedia...
Linked Tourism Data Project
Cities

Markets

Year:
Data source:
•TourMIS
•World Bank
•UNWTO

Indicators:
•Bednights
•Arriv...
Thank you for your attention!
Slide 0
Questions????

irem.onder@modul.ac.at
marta.sabou@modul.ac.at

© 2013 MODUL Universi...
Linked Data for Tourism
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Linked Data for Tourism

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How can linked data technology be used in the tourism domain? This talk by Irem Arsal at the annual TourMIS workshop explores this issue and presents some work we have been doing together in this direction. This work is now continued in the PlanetData funded ETIHQ project (www.etihq.eu).

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Linked Data for Tourism

  1. 1. Linked Data for Tourism Irem Önder, Marta Sabou, Adrian M.P. Brasoveanu
  2. 2. How many tourists arrive to the top 3 largest cities of Austria in 2012?  Information needs:  Which are the top 3 largest cities in Austria?  Hard coded: Vienna (population), Graz (population), Salzburg (population)…. (Wikipedia)  Total arrivals for Austrian cities in 2012 (Vienna, Graz, Salzburg… ) (TourMIS) © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna 2
  3. 3. Two data sources TourMIS Vienna: city in Austria Dbpedia Wikipedia as Linked Data Vienna: city in Austria
  4. 4. Top 3 Austrian Cities’ Total Arrivals in 2012 © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna 4
  5. 5. Do the arrivals have similar trend with GDP of source markets? TourMIS © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna World Bank
  6. 6. Arrivals and GDP of source markets Russia China Brazil India Hungary Croatia Italy UK Germany USA Arrivals © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna GDP 6
  7. 7. Linked Data A set of technologies to say that: Entity in Database 1 TourMIS#Wien “IS THE SAME AS” Entity in Database 2 DBPedia#Vienna … so that machined can perform more intelligent tasks by THEMSELVES. © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna 7
  8. 8. © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna 8
  9. 9. Web Linked Data: May ‘07 2.0  Sept. ‘11 Media Publications eGovernment Cross-Domain Geographic < 31 Billion Triples Life Sciences Source: http://lod-cloud.net
  10. 10. Linked Data at MODUL (2012) © 2011 MODUL University Vienna 10
  11. 11. Use Case - Tourism Decision Making  Types of decisions     Predict future demand for tourism services Benchmarking cities, regions, countries Predicting new markets Planning new infrastructure etc  Decisions involve:  Combining tourism statistics from different sources thus benefiting form extended coverage  Combining tourism statistics with other types of indicators (e.g., sustainability indicators) © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  12. 12. Tourism Indicators Source Markets Capacity Arrivals Bednights Destination © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  13. 13. Tourism indicator providers UNWTO Eurostat WorldBank TourMIS Country Y Y Y N Destination N N N Y Year Y Y Y Y Month N Y N Y Access xls/pdf Xls/csv/pdf Xml/xls/API / spss API Open (but not yet Linked) Data © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  14. 14. Difficult Data Integration  Critical for supporting decision makers BUT hampered both at syntactic and semantic level  Syntactic:  mostly open data, BUT  offered using different syntactic formats that require substantial effort for integration (e.g., especially when extracted from pdf files ..)  Semantic:     Different geographic granularity Measurements at different time intervals Different ways to measure the same indicator None of these differences are explicit in a machine format => need an analyst to understand and combine the data © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  15. 15. TourMIS Data     Arrivals, Bednights, Capacity indicators From 1985 onwards 154 EU destinations and 19 markets Annual and monthly measurements <data> <destination>BER</destination> <market>AT</market> <year>2005</year> <month>8</month> <value>13901</value> </data> © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  16. 16. Ontology © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  17. 17.   ~1 million triples Data subset contains:  1586 Arrivals measurements, 1985-2012, all destinations, annual values, total market  9989 Bednights measurements, in 2005, all destinations, all markets, monthly values  107 Capacity measurements, 2007, all destinations, annual © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  18. 18. © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  19. 19. So what?  A data access infrastructure to solve syntactic differences and foster data integration (done)  Links allow easy integration of data from DBpedia  Links allow harvesting new (missing data)  e.g., get destination‘s country from Dbpedia (done)  Harvest additional details  Semantics allow for a formal specification of measurement details and therefore help solve semantics differences (work in progress) © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna
  20. 20. Next Steps Exposing Tourism Indicators as High Quality Linked Data (ETIHQ) Ontology HTML D2R TourMIS Applica3on DBpedia GeoNames © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna • More sophisticated ontology • Simplified publishing • More Data • More Links • Improved dashboard
  21. 21. Linked Tourism Data Project Cities Markets Year: Data source: •TourMIS •World Bank •UNWTO Indicators: •Bednights •Arrivals •Capacity •Occupancy •GDP •Unemployment rate •Inflation
  22. 22. Thank you for your attention! Slide 0 Questions???? irem.onder@modul.ac.at marta.sabou@modul.ac.at © 2013 MODUL University Vienna - TourMIS Workshop 2013, Vienna 23

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