从游记中提取图结构轨迹
Graph-Structured Trajectory Extraction from Travelogues
AI总结：
本文针对序列表示无法充分表达地点层级关系的问题，提出保留地理层级与时间顺序的图结构轨迹表示方法，并构建基准数据集，实验证明地点及其顺序可准确预测，但层级关系预测仍具挑战。
摘要：
以往基于序列的人类移动轨迹提取研究存在轨迹表示不充分的问题。具体而言，当两个地点在地理上存在包含关系时，它们可能无法在序列中对齐。在本研究中，我们提出了一种图表示方法，该方法同时保留地理层级信息以及访问地点的时间顺序，并构建了一个用于图结构轨迹提取的基准数据集。基于我们所设基线的实验表明，可以准确预测访问地点及其之间的顺序，但预测层级关系仍然是一项挑战。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
