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International Conference on Web Engineering

ICWE 2018: Current Trends in Web Engineering pp 193–201Cite as

Publishing Tourism Statistics as Linked Data a Case Study of Sri Lanka

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11153))

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.

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Notes

  1. 1.

    https://www.w3.org/DesignIssues/LinkedData.html.

  2. 2.

    https://datahub.io/nandana/sri-lanka-tourism-statistics.

  3. 3.

    http://tourismkg.linkeddata.es.

  4. 4.

    http://www.sltda.lk/statistics.

  5. 5.

    https://www.w3.org/DesignIssues/LinkedData.html.

  6. 6.

    https://github.com/tourism-data/tourism-data.github.io/tree/master/sri-lanka/csv/arrivals-country-month.

  7. 7.

    https://github.com/tabulapdf/tabula-java.

  8. 8.

    https://github.com/tourism-data/tourism-data.github.io/tree/master/sri-lanka/mappings/arrivals-country-month.

  9. 9.

    http://www.dbpedia-spotlight.org.

  10. 10.

    https://w3id.org.

  11. 11.

    https://datahub.io/nandana/sri-lanka-tourism-statistics.

  12. 12.

    http://reference.data.gov.uk.

  13. 13.

    http://cubeviz.aksw.org.

  14. 14.

    https://visualization.linkedpipes.com.

  15. 15.

    http://opencube-toolkit.eu.

  16. 16.

    http://ec.europa.eu/eurostat/web/tourism/overview.

References

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Acknowledgments

This work was funded by the Spanish Ministry of Economy and Competitiveness (MINECO) with the BES-2014-068449 FPI grant, DATOS 4.0: Retos y soluciones (TIN2016-78011-C4-4-R) and esTextAnalytics (RTC-2016-4952-7) projects.

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Authors and Affiliations

  1. Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain

    Nandana Mihindukulasooriya, Freddy Priyatna & Mariano Rico

Authors
  1. Nandana Mihindukulasooriya
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  2. Freddy Priyatna
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  3. Mariano Rico
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Corresponding author

Correspondence to Nandana Mihindukulasooriya .

Editor information

Editors and Affiliations

  1. Faculty of Informatics, University of Lugano, Lugano, Switzerland

    Cesare Pautasso

  2. Quercus Software Engineering Group, Universidad de Extremadura, Cáceres, Spain

    Fernando Sánchez-Figueroa

  3. Tampere University of Technology, Tampere, Finland

    Kari Systä

  4. Escuela Politécnica, Universidad de Extremadura, Cáceres, Spain

    Juan Manuel Murillo Rodríguez

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Mihindukulasooriya, N., Priyatna, F., Rico, M. (2018). Publishing Tourism Statistics as Linked Data a Case Study of Sri Lanka. In: Pautasso, C., Sánchez-Figueroa, F., Systä, K., Murillo Rodríguez, J. (eds) Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 11153. Springer, Cham. https://doi.org/10.1007/978-3-030-03056-8_17

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  • DOI: https://doi.org/10.1007/978-3-030-03056-8_17

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  • Print ISBN: 978-3-030-03055-1

  • Online ISBN: 978-3-030-03056-8

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