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11
Linked Data for
Sustainable Tourism
Destinations
Ander García*, María Teresa Linaza*, Cristina Múgica** and Iñaki
Bolumburu**
*Department of eTourism and Cultural Heritage
Vicomtech-IK4
agarcia@vicomtech.org
**LKS, S. Coop.
22
eTourism and Cultural Heritage
• Introduction
• Linked Open Data (LOD)
• Certification of Sustainable Tourism
Destinations (STDs)
• Proposed scenario
• Conclusions
33
Applied Research in Computer
Graphics, Visual Computing &
Multimedia
Research lines
Visualization and Virtual Reality Augmented Reality Image Processing Multimedia Flow Management
Service Provision Technologies Multimedia Digital Libraries Natural Language & Speech Processing
Knowledge Discovery and Data Mining
We embody
specialization
experts in
leading the way
Research lines
44
LOD
• Linked Open Data (LOD) = Open Data + Linked
Data:
– non-privacy-restricted and non-confidential data
produced with public money
– made available without any restrictions on its usage
or distribution
– published on the Web
– machine readable
– its meaning is explicitly defined
– it is linked to other external dataset
55
LOD
66
LOD
• Publishing LOD involves 3 basic steps:
– assign URIs to the entities described by the
dataset and dereference these URIs over the HTTP
protocol into RDF representations
– set RDF links to other data sources on the Web
– provide metadata about published data
• Researchers have proposed different
methodologies to publish LOD for a variety of
domains
77
LOD Methodology
• Based on Open Source tools
• Main steps:
– Configuration
– Pre-processing
– Triplification
– Publication
88
LOD Configuration
• Non-technical issues:
– Selection and categorization of data
– Publication license, main options:
• public domain: free to share, create and adapt
• attribution: requires to include mentions to source data
• share-alike: requires public reusers of your data to
share back changes (and attribute).
• Keep-open: in case of redistribution of the data or its
adaptation, it requires a redistribution of a free version
99
LOD Configuration
• Technical issues:
– Design of URIs:
– Multilingual data publicatin patterns:
• All languages associated to the same/diferent URI
• Use labels
• …
1010
LOD Pre-processing
• Extract, clean, and normalise data:
– Format for strings and numbers
– Format for multilingual values
– Storage of multivalued fields
– Detection of errors and non-existant values
• LOD Refine software to transform original data
based on formulas expressed on GREL
1111
LOD Triplification
• Analyse the domain: ontologies, datasets,
vocabularies
• Create new ontologies and/or vocabularies if
required
• Express data as RDF triples
• Link data to external datasets
• LOD Refine software to generate RDF triples
1212
LOD Publication
• Both as OD (repository) and LOD (triple store)
• Include metadata adhering to the Data
Catalog Vocabulary (DCAT)
• DKAN (OD) and Virtuoso (LOD) software
1313
LOD Example
• RDF
1414
LOD Example
• Publication (OD and LOD)
1515
Certification of Sustainable Tourism Destinations
• Main initiatives:
– Global Sustainable Tourism Criteria (GSTC)
– United Nations World Tourism Organization (UNWTO)
– European Tourism Indicator System (ETIS)
– Green Globe
• Analysis and comparison of the different Sustainable
Tourism Indicators (STIs) proposed by each initiative
• Similarities between some STIs. For example, the
existence of sustainable tourism policies:
– GSTC A1, UNWTO 3.13.1, ETIS A.1.1, Green Globe A.1
1616
Certification of Sustainable Tourism Destinations
• Only some data about STIs is available as
Open Data (daily spend per tourist, stays,…):
• Hard to find, reuse and compare data about
STIs of destinations:
– ETIS example of Vitoria/Gasteiz
1717
Proposed scenario
• Data about STIs available as LOD:
– Network of LOD about STDs
– Common/Compatible ontologies and vocabularies
– Data sources:
• STDs
• Certification entities
• Public bodies
• Private entities
1818
Proposed scenario
• Benefits:
– Reuse
– Transparency
– Benchmarks
– Data updates
– Advanced queries
– Common tools (dashboards, widgets, auto-
evaluation,…)
– New applications developed by third parties
(sustainable tourism destination recommender,…)
1919
Proposed scenario
• Challenges, shared by LOD community:
– Provenance
– Data updates
– Multilingual data
– “Standardization” of data modelling
– Network of LOD repositories
– Coordination of several agents
2020
Conclusions
• Publication of LOD is an advanced task, eased
by the proposed methodology and Open
Source tools
• There are several certification entities of STDs,
each one proposing different STIs
• Publishing LOD about STIs presents several
advantages and challenges, requiring the
coordination of several agents
2121
Questions
• Ander Garcia
– agarcia@vicomtech.org

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Linked Data for Sustainable Tourism

  • 1. 11 Linked Data for Sustainable Tourism Destinations Ander García*, María Teresa Linaza*, Cristina Múgica** and Iñaki Bolumburu** *Department of eTourism and Cultural Heritage Vicomtech-IK4 agarcia@vicomtech.org **LKS, S. Coop.
  • 2. 22 eTourism and Cultural Heritage • Introduction • Linked Open Data (LOD) • Certification of Sustainable Tourism Destinations (STDs) • Proposed scenario • Conclusions
  • 3. 33 Applied Research in Computer Graphics, Visual Computing & Multimedia Research lines Visualization and Virtual Reality Augmented Reality Image Processing Multimedia Flow Management Service Provision Technologies Multimedia Digital Libraries Natural Language & Speech Processing Knowledge Discovery and Data Mining We embody specialization experts in leading the way Research lines
  • 4. 44 LOD • Linked Open Data (LOD) = Open Data + Linked Data: – non-privacy-restricted and non-confidential data produced with public money – made available without any restrictions on its usage or distribution – published on the Web – machine readable – its meaning is explicitly defined – it is linked to other external dataset
  • 6. 66 LOD • Publishing LOD involves 3 basic steps: – assign URIs to the entities described by the dataset and dereference these URIs over the HTTP protocol into RDF representations – set RDF links to other data sources on the Web – provide metadata about published data • Researchers have proposed different methodologies to publish LOD for a variety of domains
  • 7. 77 LOD Methodology • Based on Open Source tools • Main steps: – Configuration – Pre-processing – Triplification – Publication
  • 8. 88 LOD Configuration • Non-technical issues: – Selection and categorization of data – Publication license, main options: • public domain: free to share, create and adapt • attribution: requires to include mentions to source data • share-alike: requires public reusers of your data to share back changes (and attribute). • Keep-open: in case of redistribution of the data or its adaptation, it requires a redistribution of a free version
  • 9. 99 LOD Configuration • Technical issues: – Design of URIs: – Multilingual data publicatin patterns: • All languages associated to the same/diferent URI • Use labels • …
  • 10. 1010 LOD Pre-processing • Extract, clean, and normalise data: – Format for strings and numbers – Format for multilingual values – Storage of multivalued fields – Detection of errors and non-existant values • LOD Refine software to transform original data based on formulas expressed on GREL
  • 11. 1111 LOD Triplification • Analyse the domain: ontologies, datasets, vocabularies • Create new ontologies and/or vocabularies if required • Express data as RDF triples • Link data to external datasets • LOD Refine software to generate RDF triples
  • 12. 1212 LOD Publication • Both as OD (repository) and LOD (triple store) • Include metadata adhering to the Data Catalog Vocabulary (DCAT) • DKAN (OD) and Virtuoso (LOD) software
  • 15. 1515 Certification of Sustainable Tourism Destinations • Main initiatives: – Global Sustainable Tourism Criteria (GSTC) – United Nations World Tourism Organization (UNWTO) – European Tourism Indicator System (ETIS) – Green Globe • Analysis and comparison of the different Sustainable Tourism Indicators (STIs) proposed by each initiative • Similarities between some STIs. For example, the existence of sustainable tourism policies: – GSTC A1, UNWTO 3.13.1, ETIS A.1.1, Green Globe A.1
  • 16. 1616 Certification of Sustainable Tourism Destinations • Only some data about STIs is available as Open Data (daily spend per tourist, stays,…): • Hard to find, reuse and compare data about STIs of destinations: – ETIS example of Vitoria/Gasteiz
  • 17. 1717 Proposed scenario • Data about STIs available as LOD: – Network of LOD about STDs – Common/Compatible ontologies and vocabularies – Data sources: • STDs • Certification entities • Public bodies • Private entities
  • 18. 1818 Proposed scenario • Benefits: – Reuse – Transparency – Benchmarks – Data updates – Advanced queries – Common tools (dashboards, widgets, auto- evaluation,…) – New applications developed by third parties (sustainable tourism destination recommender,…)
  • 19. 1919 Proposed scenario • Challenges, shared by LOD community: – Provenance – Data updates – Multilingual data – “Standardization” of data modelling – Network of LOD repositories – Coordination of several agents
  • 20. 2020 Conclusions • Publication of LOD is an advanced task, eased by the proposed methodology and Open Source tools • There are several certification entities of STDs, each one proposing different STIs • Publishing LOD about STIs presents several advantages and challenges, requiring the coordination of several agents
  • 21. 2121 Questions • Ander Garcia – agarcia@vicomtech.org