发表机构
The Hong Kong Polytechnic University（香港理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究针对现有RAG系统不足，提出基于异构图的PolyUQuest框架。通过双层路由器分配查询到三种检索模式，答案可验证。在PolyU官网等评估中，该框架在多方面优于现有系统，还提供交互式界面，准备部署为学生问答服务。
AI 中文摘要
现有检索增强生成（RAG）系统将网页视为纯文本，丢失了HTML中编码的结构和语义信号。我们提出了PolyUQuest，这是一个基于异构图构建的可验证、结构感知的网络RAG框架，该框架统一了页面间的超链接拓扑、页面内的DOM层次结构以及跨页面的实体关系知识。一个双层路由器根据查询的结构需求将其分配到三种检索模式之一，包括直接块检索、跨页面图遍历和多跳实体推理。每个答案都是完全可验证的，因为每个引用块都携带其源页面、标题路径和实体链接，以便用户可以将任何主张追溯到其结构证据。我们在香港理工大学（PolyU）的官方网站上进行评估，该网站包括4240个页面、31086个DOM块、29119个实体和37680个关系，以及一个多类型评估基准。PolyUQuest在答案正确性、覆盖率和忠实性方面优于现有RAG系统，同时每个查询消耗的LLM令牌显著减少。演示提供了一个交互式界面，用于检查引用的答案、比较不同路由模式的检索轨迹以及探索证据图路径。PolyUQuest正准备作为面向PolyU学生的问答服务进行部署。
英文摘要
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.
CommentsAccepted at CIKM 2026 Demo Track
