Paper

{
  "raw_xml": "<entry>\n    <id>http://arxiv.org/abs/2603.28755v1</id>\n    <title>Graphilosophy: Graph-Based Digital Humanities Computing with The Four Books</title>\n    <updated>2026-03-30T17:57:07Z</updated>\n    <link href='https://arxiv.org/abs/2603.28755v1' rel='alternate' type='text/html'/>\n    <link href='https://arxiv.org/pdf/2603.28755v1' rel='related' title='pdf' type='application/pdf'/>\n    <summary>The Four Books have shaped East Asian intellectual traditions, yet their multi-layered interpretive complexity limits their accessibility in the digital age. While traditional bilingual commentaries provide a vital pedagogical bridge, computational frameworks are needed to preserve and explore this wisdom. This paper bridges AI and classical philosophy by introducing Graphilosophy, an ontology-guided, multi-layered knowledge graph framework for modeling and interpreting The Four Books. Integrating natural language processing, multilingual semantic embeddings, and humanistic analysis, the framework transforms a bilingual Chinese-Vietnamese corpus into an interpretively grounded resource. Graphilosophy encodes linguistic, conceptual, and interpretive relationships across interconnected layers, enabling cross-lingual retrieval and AI-assisted reasoning while explicitly preserving scholarly nuance and interpretive plurality. The system also enables non-expert users to trace the evolution of ethical concepts across borders and languages, ensuring that ancient wisdom remains a living resource for modern moral discourse rather than a static relic of the past. Through an interactive interface, users can trace the evolution of ethical concepts across languages, ensuring ancient wisdom remains relevant for modern discourse. A preliminary user study suggests the system's capacity to enhance conceptual understanding and cross-cultural learning. By linking algorithmic representation with ethical inquiry, this research exemplifies how AI can serve as a methodological bridge, accommodating the ambiguity of cultural heritage rather than reducing it to static data. The Source code and data are released at https://github.com/ThuDoMinh1102/confucian-texts-knowledge-graph.</summary>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.CY'/>\n    <published>2026-03-30T17:57:07Z</published>\n    <arxiv:comment>AI &amp; Society journal</arxiv:comment>\n    <arxiv:primary_category term='cs.CY'/>\n    <author>\n      <name>Minh-Thu Do</name>\n    </author>\n    <author>\n      <name>Quynh-Chau Le-Tran</name>\n    </author>\n    <author>\n      <name>Duc-Duy Nguyen-Mai</name>\n    </author>\n    <author>\n      <name>Thien-Trang Nguyen</name>\n    </author>\n    <author>\n      <name>Khanh-Duy Le</name>\n    </author>\n    <author>\n      <name>Minh-Triet Tran</name>\n    </author>\n    <author>\n      <name>Tam V. Nguyen</name>\n    </author>\n    <author>\n      <name>Trung-Nghia Le</name>\n    </author>\n  </entry>"
}