arXiv cs.CY· Tara Azin, Christy Caudill, Mako Sorensen, Peter Pulsifer·· 11 小时前AI 评分18
IKTRACE:识别学术文献中原住民知识表征的自然语言处理框架
IKTRACE: A Natural Language Processing Framework for Identifying Indigenous Knowledge Representation in Academic Literature
AI 导读
研究团队提出 IKTRACE 自然语言处理框架,用于识别、分析和组织学术文献中的原住民知识表征,并遵循原住民数据主权(IDsov)原则。该框架包含与因纽特合作伙伴共同开发的九大知识领域分类体系,并采用多方法知识识别流程,输出整合进知识图谱以供专家和社区验证。在加拿大北极研究文献语料上,IKTRACE 在专家验证中展现出高准确度和较强的社区相关性。
正文 · 原文
Abstract:As artificial intelligence systems increasingly rely on vast textual data, respectful and accurate representation of Indigenous Knowledge has become critical. This paper introduces IKTRACE, a natural language processing framework for identifying, analyzing, and organizing Indigenous Knowledge representations in academic literature while adhering to Indigenous Data Sovereignty (IDsov) principles. We present a community-informed taxonomy co-developed with Inuit partners, comprising nine knowledge domains grounded in Indigenous Data Sovereignty principles. Building on this taxonomy, we implement a multi-method Knowledge identification pipeline using complementary natural language processing approaches. Outputs are integrated into a knowledge graph to support future expert and community validation. Applied to a corpus of Canadian Arctic research documents, IKTRACE demonstrated high accuracy and strong community relevance in expert validation. Our framework provides a scalable, ethically grounded foundation for Community-centered Knowledge validation and the development of Indigenous-informed AI systems.
| Subjects: | Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.38186 [cs.CY] |
| (or arXiv:2610.38186v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.38186 arXiv-issued DOI via DataCite |
Submission history
From: Tara Azin [view email]
[v1]
Wed, 28 Oct 2026 02:35:55 UTC (4,862 KB)
[v2]
Fri, 30 Oct 2026 10:43:43 UTC (4,647 KB)
来源:arXiv cs.CY · arxiv.org