SUDO：从科学出版物到全球学术话语的学术上层话语本体
SUDO: From Scientific Publications to Global Scholarly Discourse
AI 导读
arXiv 论文提出 SUDO（Scholarly Upper Discourse Ontology），定义知识元素如何组织构成论文的研究叙事即学术话语。不同于概念中心或语句中心两类知识图谱范式，SUDO 基于语言学原则自下而上构建每篇论文的源文本支撑表示，跨论文连接成全局学术话语而不丢失局部上下文。在学术知识建模用例和基于 LLM 的科学问答下游任务上展示了性能提升。
正文 · 原文
Abstract:Scholarly Knowledge Graphs (SKGs) support literature search, scientific discovery, and agent-assisted research. Yet, most approaches to SKG construction pre-specify the knowledge unit to be represented, typically named scholarly entities or contribution-level statements, and retain only the publication content expressible through that unit. This choice produces two dominant yet distinct paradigms: concept-centric SKGs that preserve entities and local relations, and statement-centric SKGs that capture high-level discourse in sentences. In both cases, the graph reflects a chosen extraction target rather than how a paper constructs and communicates knowledge. We introduce SUDO, the Scholarly Upper Discourse Ontology, which defines how knowledge elements are organized and related to form a paper's research narrative, namely its scholarly discourse. Using linguistic principles that generalize across fields and tasks, SUDO enables each publication's scholarly discourse to be constructed from the bottom up as a coherent, source-grounded representation. Applied consistently across papers, the same structure connects their research narratives into a global scholarly discourse without discarding local context or provenance. We demonstrate SUDO's capabilities across a comprehensive suite of scholarly knowledge-modeling use cases and performance improvements on a downstream Large Language Model (LLM)-based scientific QA task.
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Digital Libraries (cs.DL) |
| Cite as: | arXiv:2610.33018 [cs.CL] |
| (or arXiv:2610.33018v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.33018 arXiv-issued DOI via DataCite |
Submission history
From: Pathirage Deelaka Nipun [view email]
[v1]
Thu, 8 Oct 2026 14:09:15 UTC (3,217 KB)
来源：arXiv cs.AI · arxiv.org