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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.09587 |
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| _version_ | 1866917639496925184 |
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| author | Serles, Umutcan Kärle, Elias Hunkel, Richard Fensel, Dieter |
| author_facet | Serles, Umutcan Kärle, Elias Hunkel, Richard Fensel, Dieter |
| contents | Tourism is one of the most critical sectors of the global economy. Due to its heterogeneous and fragmented nature, it provides one of the most suitable use cases for knowledge graphs. In this poster, we introduce the German Tourism Knowledge Graph that integrates tourism-related data from 16 federal states of Germany and various other sources to provide a curated knowledge source for various applications. It is publicly available through GUIs and an API. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_09587 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | German Tourism Knowledge Graph Serles, Umutcan Kärle, Elias Hunkel, Richard Fensel, Dieter Artificial Intelligence Tourism is one of the most critical sectors of the global economy. Due to its heterogeneous and fragmented nature, it provides one of the most suitable use cases for knowledge graphs. In this poster, we introduce the German Tourism Knowledge Graph that integrates tourism-related data from 16 federal states of Germany and various other sources to provide a curated knowledge source for various applications. It is publicly available through GUIs and an API. |
| title | German Tourism Knowledge Graph |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2404.09587 |