Spot：OSM 地理空间搜索的自然语言界面
Spot: A Natural Language Interface for Geospatial Searches in OSM
AI总结：
Spot 是一个自然语言界面，通过语义映射和 T5 模型，将用户查询转换为 OSM 标签，帮助非技术用户（如记者）搜索地理空间数据，并开源代码与数据。
摘要：
调查记者和事实核查人员发现，OpenStreetMap（OSM）因其广泛覆盖和各地点的复杂细节，成为他们工作中不可或缺的资源，在调查新闻场景中发挥关键作用。尽管具有价值，OSM 的复杂性带来了相当大的可访问性和可用性挑战，尤其是对于没有技术背景的用户。为解决此问题，我们引入了“Spot”，一个用户友好的自然语言界面，用于查询 OSM 数据。Spot 利用从自然语言到 OSM 标签的语义映射，借助人工生成的句子查询和 T5 变换器。该方法使 Spot 能够从用户输入的句子中提取相关信息，并在地图上显示与描述匹配的候选位置。为促进合作和未来进展，所有代码和生成的数据均以开源仓库形式提供。
英文摘要：
Investigative journalists and fact-checkers have found OpenStreetMap (OSM) to be an invaluable resource for their work due to its extensive coverage and intricate details of various locations, which play a crucial role in investigating news scenes. Despite its value, OSM's complexity presents considerable accessibility and usability challenges, especially for those without a technical background. To address this, we introduce 'Spot', a user-friendly natural language interface for querying OSM data. Spot utilizes a semantic mapping from natural language to OSM tags, leveraging artificially generated sentence queries and a T5 transformer. This approach enables Spot to extract relevant information from user-input sentences and display candidate locations matching the descriptions on a map. To foster collaboration and future advancement, all code and generated data is available as an open-source repository.
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。
