Methodology for the Publication of Linked Open Data from Small and Medium Size DMOs

Abstract

Destination Management Organizations (DMOs) create and collect valuable data in the tourism sector, which usually is kept in isolated data repositories. Linked Open Data (LOD), which combines the Open Data movement and the Linked Data initiative, adds semantic annotations and links to external data, allowing DMOs not only setting their data free from isolated repositories, but also placing them in multiple contexts by pairing them with different LOD sets worldwide. However, the lack of clear methodologies, publication examples and tools focused on DMOs has been reflected on a scarcity of available examples of tourism LOD published by DMOs. This paper presents a methodology for the publication of tourism LOD for small and medium size DMOs, which has been implemented using Open Source tools. An example of publishing a multilingual dataset of Points of Interest (POIs) is provided as well as a mobile application based on the data. 

BIB_text

@Article {
title = {Methodology for the Publication of Linked Open Data from Small and Medium Size DMOs},
pages = {183-195},
keywds = {

Linked open data, DMO, Tourism data


}
abstract = {

Destination Management Organizations (DMOs) create and collect valuable data in the tourism sector, which usually is kept in isolated data repositories. Linked Open Data (LOD), which combines the Open Data movement and the Linked Data initiative, adds semantic annotations and links to external data, allowing DMOs not only setting their data free from isolated repositories, but also placing them in multiple contexts by pairing them with different LOD sets worldwide. However, the lack of clear methodologies, publication examples and tools focused on DMOs has been reflected on a scarcity of available examples of tourism LOD published by DMOs. This paper presents a methodology for the publication of tourism LOD for small and medium size DMOs, which has been implemented using Open Source tools. An example of publishing a multilingual dataset of Points of Interest (POIs) is provided as well as a mobile application based on the data. 


}
isbn = {978-3-319-14342-2},
date = {2015-02-03},
year = {2015},
}
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