Problem
Research questions and friction points this paper is trying to address.
The Four Books
digital humanities
interpretive complexity
cross-lingual accessibility
ethical concepts
Graphilosophy: Graph-Based Digital Humanities Computing with The Four Books
🤖 AI Summary
This study addresses the accessibility challenges facing the multilayered interpretive tradition of the Four Books in the digital age. It proposes an ontology-guided, multilayer knowledge graph framework that, for the first time, integrates the hermeneutic structure of Confucian classics with knowledge graph technology to explicitly model the complex relationships among language, concepts, and interpretations. Leveraging natural language processing, multilingual semantic embeddings, and interactive visualization, the system constructs a bilingual (Chinese–Vietnamese) computable knowledge resource for the Four Books, enabling cross-lingual retrieval and tracing the evolution of ethical concepts. Preliminary user studies indicate that the system effectively enhances understanding of Confucian ethics and fosters cross-cultural dialogue, offering a novel paradigm for AI-driven digital humanities research.
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
knowledge graph
multilingual semantic embeddings
ontology-guided framework
digital humanities
cross-lingual retrieval
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