Towards modeling linked open data for decision support: An example application of Thailand tourism linked data visualization

Abstract

Linked Data, a method of data representation with interlinks of varied data sources, has become a standard for achieving semantic web. This paper presents an approach to Linked Open Data (LOD) Modeling in order to develop Web of Data based on LOD standards and methodologies and to manage the complexity of the domain of interest. An example from the domain Tourism exemplifies the approach applicable for LOD development and focuses on the design methods and techniques: designing relational data model from various standards and stakeholders in tourism industry; transformations between relational and RDF/OWL data models; and tourism ontology development mainly using Protege. The approach uses the process of mapping relational data to Linked Data and key processes of LOD modeling and prototyping of Web of Data. We propose the approach to modeling LOD for industry decision support. Visualization of key tourism indicators is implemented with the resulted LOD to illustrate the key processes of LOD modeling, and prototyping of Web of Data for the industry. This aims at building of a Proof of Concept (POC) application of visualization of Thai tourism datasets of a 18-year period with complete measurements and indicators of the industry.