Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
Nombre congreso	TourismKG workshop at ICWE 2018
Tipo de participación	960
Lugar del congreso	Cáceres, España
Revisores	Si
ISBN o ISSN	978-3-030-03056-8
DOI	10.1007/978-3-030-03056-8_17
Fecha inicio congreso	05/06/2018
Fecha fin congreso	05/06/2018
Desde la página	193
Hasta la página	201
Título de las actas	Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science, vol 11153. Springer, Cham

Esta actividad pertenece a memorias de investigación

• Autor: Nandana Sampath Mihindukulasooriya (UPM)
• Autor: Freddy Priyatna . (UPM)
• Autor: Mariano Rico Almodovar (UPM)

• Creador: Grupo de Investigación: Ontology Engineering Group
• Departamento: Inteligencia Artificial