将散落的伊斯兰圣训传述人信息通过多信号匹配链接，构建跨库知识图谱。
Linking Hadith Narrator Identities Across Heterogeneous Arabic Biographical Databases: A Multi-Signal Entity Resolution Pipeline
- 用姓名相似度匹配两个数据库，第一阶段链接94,628条记录。
- 结合死亡年份与可信度，第二阶段实现94.7%的高准确率链接。
- 成果开放共享，助力研究圣训传播网络与历史人物关系。
伊斯兰圣训的传承链（sanad）记录了数万历史传述人的关系，但其生平资料分散在多个独立维护的阿拉伯语数据库中，缺乏统一标识。本文提出两阶段实体消歧流程：第一阶段基于仅有的姓名相似度，将来自Sanadset 650K语料库（650,986条圣训，185,216个名字变体）的传述人匹配至Hawramani数据库（100,915条），成功链接94,628条（51.1%；高置信39,938 / 中等54,690）。第二阶段利用加权多信号函数（姓名相似度、死亡年份接近度、可信度极性）将Hawramani与Muslimscholars（25,247条）交叉比对，获得95,573条链接（占Hawramani的94.7%；高置信18,245 / 中等71,546 / 低置信5,782）。两阶段串联使Sanadset传述人可间接访问Muslimscholars数据。最终构建了一个包含185,216个节点、814,093条边的有向传输图，并融合多源生平元数据。标注链接语料与增强图谱已开源。
原文摘要 · Abstract (English)
The transmission chains (sanad) of Islamic Hadith literature encode relationships among tens of thousands of historical narrators whose biographical records are dispersed across independently maintained digital databases that share no common identifier. We present a two-phase entity resolution pipeline that links narrator names from the Sanadset 650K corpus - 650,986 Hadith records from 926 books containing 185,216 unique narrator name variants - to two biographical databases: Hadithtransmitters (Hawramani; 100,915 entries) and Muslimscholars (25,247 entries). Phase 1 matches Sanadset names to Hawramani using name-only similarity (Sanadset carries no metadata), yielding 94,628 links (51.1%; HIGH 39,938 / MED 54,690). Phase 2 cross-references Hawramani against Muslimscholars via a weighted multi-signal function combining name similarity, death-year proximity, and reliability grade polarity, yielding 95,573 links (94.7% of Hawramani; HIGH 18,245 / MED 71,546 / LOW 5,782). Chaining the two phases gives Sanadset narrators transitive access to Muslimscholars data. The linked data enable construction of a 185,216-node, 814,093-edge directed transmission graph enriched with cross-source biographical metadata. The annotated link corpora and enriched graph are released as open resources.
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