用AI把冗长的市政会议纪要变可搜可查的透明数据
CitiLink: Enhancing Municipal Transparency and Citizen Engagement through Searchable Meeting Minutes
- 用大模型提取议题、投票结果等关键信息，结构化存储
- 支持全文检索和分类筛选，6个市共120份纪要已上线
- 适合市民、记者及政府人员快速获取政务信息
市政会议纪要通常篇幅长、风格官僚，虽公开但难查找。本演示展示CitiLink平台，通过自然语言处理与信息检索技术，将非结构化的会议纪要转化为可搜索的结构化数据。系统利用大语言模型提取元数据、讨论议题与投票结果，并基于BM25算法实现全文检索，结合分面过滤功能，提供友好的用户界面。平台基于葡萄牙六个市提供的120份会议纪要构建。通过面向市政人员的引导测试，评估了系统的可用性；同时评估Gemini在信息抽取中的表现，验证其在数据提取方面的有效性。
原文摘要 · Abstract (English)
City council minutes are typically lengthy and formal documents with a bureaucratic writing style. Although publicly available, their structure often makes it difficult for citizens or journalists to efficiently find information. In this demo, we present CitiLink, a platform designed to transform unstructured municipal meeting minutes into structured and searchable data, demonstrating how NLP and IR can enhance the accessibility and transparency of local government. The system employs LLMs to extract metadata, discussed subjects, and voting outcomes, which are then indexed in a database to support full-text search with BM25 ranking and faceted filtering through a user-friendly interface. The developed system was built over a collection of 120 minutes made available by six Portuguese municipalities. To assess its usability, CitiLink was tested through guided sessions with municipal personnel, providing insights into how real users interact with the system. In addition, we evaluated Gemini's performance in extracting relevant information from the minutes, highlighting its effectiveness in data extraction.
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