Improving Tourism Analytics From Climate Data Using Knowledge Graphs

Abstract

Climate change has been deemed to be one of the greatest challenges facing humans in the 21st century, with extreme weather events taking place more regularly than before. While the impact of climate change has been well documented in recent years across industries, the impact of climate change on the tourism economy is yet to be fully realized. This article aims to apply a range of knowledge graph techniques to naturalistic data. Among these, weather data will be explored as one prospective way to enhance people's understanding of how climate and a country's tourism economy are related and how they interact. According to our exploration with the knowledge graph approach in organizing the climate and tourism data, the insights and knowledge gained from the knowledge graph are able to ultimately help improve the quality of life for people and the tourism industry of a country.

Keywords

• Climate–tourism analytics
• flight data
• knowledge graph
• linked data