让网页问答理解结构，答案可追溯来源。
PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphs
- 构建异构图统一页面间链接、层级与实体关系，支持三种检索模式。
- 在4240页数据上正确率、覆盖率和可信度均优于基线模型。
- 适合需要透明推理过程的教育类问答系统使用。
现有检索增强生成（RAG）系统将网页视为扁平文本，丢失了HTML中的结构与语义信号。我们提出PolyUQuest，一个可验证、结构感知的网页RAG框架，基于异构图统一页面间的超链接拓扑、页面内的DOM层级以及跨页面的实体关系。通过双层路由机制，将查询分配至三种适配其结构需求的检索模式：直接块检索、跨页图遍历与多跳实体推理。每个答案附带可追溯的出处信息：每条引用块记录其来源页面、标题路径及实体链接，用户可审查支撑主张的结构证据。我们在香港理工大学（PolyU）官网（共4,240页、31,086个DOM块、29,119个实体、37,680条关系）上进行评估，并采用多类型评测基准。PolyUQuest在正确性、覆盖范围和忠实度方面优于对比基线，同时查询时的分词消耗与ChunkRAG相当，远低于其他图结构RAG方案。演示系统提供交互界面，用于查看引用答案、对比不同路由模式下的检索路径以及探索证据图路径。PolyUQuest正准备作为学生服务部署于PolyU。
原文摘要 · Abstract (English)
Existing retrieval-augmented generation (RAG) systems treat web pages as flat text, losing the structural and semantic signals encoded in HTML. We present PolyUQuest, a verifiable, structure-aware web RAG framework built on a heterogeneous graph that unifies hyperlink topology between pages, DOM hierarchy within pages, and entity-relation knowledge across pages. A two-tier router dispatches each query to one of three retrieval modes matched to its structural need, including direct block retrieval, cross-page graph traversal, and multi-hop entity reasoning. Each answer carries traceable provenance: every cited block records its source page, heading path, and entity links, so users can inspect the structural evidence behind a claim. We evaluate on the official websites of the Hong Kong Polytechnic University (PolyU), comprising 4,240 pages, 31,086 DOM blocks, 29,119 entities, and 37,680 relations, together with a multi-type evaluation benchmark. PolyUQuest improves correctness, coverage, and faithfulness over the evaluated baselines while maintaining query-time token consumption comparable to ChunkRAG and substantially below the graph-based RAG baselines. The demonstration provides an interactive interface for inspecting cited answers, comparing retrieval traces across routing modes, and exploring evidence graph paths. PolyUQuest is being prepared for deployment as a student-facing QA service at PolyU.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。