SBE-UKRI: Understanding imprecise space and time in narratives through qualitative representations, reasoning, and visualisation

SBE-UKRI：通过定性表征、推理和可视化理解叙事中不精确的空间和时间

• 批准号: 2225179
• 负责人: Zephyr Frank
• 金额: $ 49.65万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2025-11-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2225179&HistoricalAwards=false
• 关键词: SBE; UKRI; Understanding; imprecise; space

This project explores how Geographical Information Systems and related tools can identify, analyze and visualize qualitative senses of place alongside the quantitative spatial information that typify these systems. The project develops concepts and tools that enhance the ways that people integrate and interpret geographical data, including locations and associated sentiments, in large textual collections. The researchers examine places that are described in archival texts, including poetry and oral histories, and subsequently construct spatial representations of these textual geographies in the form of maps and visualizations. These goals are achieved by developing approaches to textual sources that allow imprecise and ambiguous spatial information to be used effectively by geospatial technologies that were initially designed for precisely measured spatial data. The project includes a team of historians, data scientists, and cartographers in collaboration with partner teams at research institutions in the United Kingdom. Additionally, the project supports graduate students and junior researchers as well as offering its results and tools to the wider scholarly community and heritage partners.This project builds upon two case studies comprising extensive textual corpora: a) poetic depictions of landscapes in the Lake District of England, an expressive and often metaphorical language of place; and b) survivor testimonies from the US Holocaust Museum, describing place and movement under extreme conditions and disorientation. These case studies allow the researchers to develop concepts and tools for complex and varied textual materials while enhancing the applications of the techniques with stakeholders working on cultural heritage projects. The approach is founded on the application of natural language processing and qualitative spatial and temporal reasoning to extract, locate, and contextualize imprecise information about places, which can subsequently be explored with advanced visual analytics and representation to test and communicate results. The project aims to show how these techniques can reveal not only where a place or event is located but also what it might feel like to be there and what it meant to particular historical actors.This proposal is awarded under the SBE-UKRI Lead Agency Opportunity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目探讨了地理信息系统和相关工具如何识别、分析和可视化地点的定性感觉以及代表这些系统的定量空间信息。该项目开发的概念和工具可以增强人们在大型文本集合中整合和解释地理数据（包括位置和相关情感）的方式。研究人员检查档案文本中描述的地点，包括诗歌和口述历史，然后以地图和可视化的形式构建这些文本地理的空间表示。这些目标是通过开发文本源方法来实现的，这些方法允许最初为精确测量的空间数据设计的地理空间技术有效地使用不精确和模糊的空间信息。该项目包括一个由历史学家、数据科学家和制图师组成的团队，与英国研究机构的合作伙伴团队合作。此外，该项目还为研究生和初级研究人员提供支持，并向更广泛的学术界和遗产合作伙伴提供其成果和工具。该项目以两个包含广泛文本语料库的案例研究为基础：a）对英格兰湖区风景的诗意描述，这是一种富有表现力且通常是隐喻的地方语言； b) 来自美国大屠杀博物馆的幸存者证词，描述了极端条件和迷失方向下的地点和运动。这些案例研究使研究人员能够为复杂多样的文本材料开发概念和工具，同时与从事文化遗产项目的利益相关者一起加强技术的应用。该方法建立在应用自然语言处理和定性时空推理的基础上，来提取、定位和关联有关地点的不精确信息，随后可以通过高级视觉分析和表示来探索这些信息，以测试和传达结果。该项目旨在展示这些技术如何不仅能够揭示某个地点或事件的位置，还能揭示在那里的感觉以及对特定历史参与者意味着什么。该提案是根据 SBE-UKRI 牵头机构机会授予的。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。