Improving Tourism Analytics From Climate Data Using Knowledge Graphs
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 t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10025685/ |
| _version_ | 1827991124366589952 |
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| author | Jiantao Wu Jarrett Pierse Fabrizio Orlandi Declan O'Sullivan Soumyabrata Dev |
| author_facet | Jiantao Wu Jarrett Pierse Fabrizio Orlandi Declan O'Sullivan Soumyabrata Dev |
| author_sort | Jiantao Wu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T00:45:39Z |
| format | Article |
| id | doaj.art-fe4f090ab2cf459386ae6c0037199f07 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-10T00:45:39Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-fe4f090ab2cf459386ae6c0037199f072023-03-13T23:00:25ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01162402241210.1109/JSTARS.2023.323983110025685Improving Tourism Analytics From Climate Data Using Knowledge GraphsJiantao Wu0https://orcid.org/0000-0002-3659-6630Jarrett Pierse1https://orcid.org/0000-0001-7898-1396Fabrizio Orlandi2Declan O'Sullivan3https://orcid.org/0000-0003-1090-3548Soumyabrata Dev4https://orcid.org/0000-0002-0153-1095ADAPT SFI Research Centre, School of Computer Science, University College Dublin, Dublin, IrelandSchool of Computer Science, University College Dublin, Dublin, IrelandADAPT SFI Research Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, IrelandADAPT SFI Research Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, IrelandADAPT SFI Research Centre, School of Computer Science, University College Dublin, Dublin, IrelandClimate 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.https://ieeexplore.ieee.org/document/10025685/Climate–tourism analyticsflight dataknowledge graphlinked data |
| spellingShingle | Jiantao Wu Jarrett Pierse Fabrizio Orlandi Declan O'Sullivan Soumyabrata Dev Improving Tourism Analytics From Climate Data Using Knowledge Graphs IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Climate–tourism analytics flight data knowledge graph linked data |
| title | Improving Tourism Analytics From Climate Data Using Knowledge Graphs |
| title_full | Improving Tourism Analytics From Climate Data Using Knowledge Graphs |
| title_fullStr | Improving Tourism Analytics From Climate Data Using Knowledge Graphs |
| title_full_unstemmed | Improving Tourism Analytics From Climate Data Using Knowledge Graphs |
| title_short | Improving Tourism Analytics From Climate Data Using Knowledge Graphs |
| title_sort | improving tourism analytics from climate data using knowledge graphs |
| topic | Climate–tourism analytics flight data knowledge graph linked data |
| url | https://ieeexplore.ieee.org/document/10025685/ |
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