Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Publishing Tourism Statistics as Linked Data - A Case Study of Sri Lanka
Year:2018
Research Areas
  • Information technology and adata processing
Information
Abstract
Tourism is a crucial component of Sri Lanka?s economy. Intelligent business decisions by means of thorough analysis of relevant data can help the Sri Lankan tourism industry to be competitive. To this end, Sri Lanka Tourism Development Authority makes tourism statistics publicly available. However, they are published as PDF files limiting their reuse. In this paper, we present how to transform such data into 5-star Linked Open Data by extracting the statistics as structured data; modelling them using the W3C RDF Data Cube vocabulary and transforming them to RDF using W3C R2RML mappings. Furthermore, we demonstrate the benefits of such transformation using two real-world use cases.
International
Si
Congress
TourismKG workshop at ICWE 2018
960
Place
Cáceres, España
Reviewers
Si
ISBN/ISSN
978-3-030-03056-8
10.1007/978-3-030-03056-8_17
Start Date
05/06/2018
End Date
05/06/2018
From page
193
To page
201
Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science, vol 11153. Springer, Cham
Participants
  • Autor: Nandana Sampath Mihindukulasooriya (UPM)
  • Autor: Freddy Priyatna . (UPM)
  • Autor: Mariano Rico Almodovar (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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