Graph-Structured Trajectory Extraction from Travelogues
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866912081482088448 |
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| author | Yamamoto, Aitaro Otomo, Hiroyuki Ouchi, Hiroki Higashiyama, Shohei Teranishi, Hiroki Shindo, Hiroyuki Watanabe, Taro |
| author_facet | Yamamoto, Aitaro Otomo, Hiroyuki Ouchi, Hiroki Higashiyama, Shohei Teranishi, Hiroki Shindo, Hiroyuki Watanabe, Taro |
| contents | Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lined up in a sequence especially when one location includes the other geographically. In this study, we propose a graph representation that retains information on the geographic hierarchy as well as the temporal order of visited locations, and have constructed a benchmark dataset for graph-structured trajectory extraction. The experiments with our baselines have demonstrated that it is possible to accurately predict visited locations and the order among them, but it remains a challenge to predict the hierarchical relations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_16633 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Graph-Structured Trajectory Extraction from Travelogues Yamamoto, Aitaro Otomo, Hiroyuki Ouchi, Hiroki Higashiyama, Shohei Teranishi, Hiroki Shindo, Hiroyuki Watanabe, Taro Computation and Language Artificial Intelligence Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lined up in a sequence especially when one location includes the other geographically. In this study, we propose a graph representation that retains information on the geographic hierarchy as well as the temporal order of visited locations, and have constructed a benchmark dataset for graph-structured trajectory extraction. The experiments with our baselines have demonstrated that it is possible to accurately predict visited locations and the order among them, but it remains a challenge to predict the hierarchical relations. |
| title | Graph-Structured Trajectory Extraction from Travelogues |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2410.16633 |