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.

翻译：《四书》塑造了东亚思想传统，但其多层次的诠释复杂性限制了数字时代的可及性。尽管传统双语注释提供了重要的教学桥梁，仍需计算框架来保存和探索这一智慧。本文通过引入"四书图谱"（Graphilosophy）——一个本体引导的多层知识图谱框架，用于建模和诠释《四书》，从而连接人工智能与古典哲学。该框架整合自然语言处理、多语言语义嵌入与人文学科分析，将双语中越语料转化为具有诠释基础的资源。四书图谱在互连层级中编码语言、概念和诠释关系，实现跨语言检索与AI辅助推理，同时明确保留学术细微差异与诠释多元性。该系统还使非专业用户能够追踪伦理概念在跨边界和跨语言中的演变轨迹，确保古老智慧成为现代道德话语的活态资源，而非静止的历史遗存。通过交互界面，用户可追踪伦理概念在不同语言间的演变，确保古代智慧与当代论述保持关联。初步用户研究表明该系统具有增强概念理解与跨文化学习的能力。通过将算法表征与伦理探究相联结，本研究 exemplifies人工智能如何作为方法论桥梁，容纳文化遗产的模糊性，而非将其简化为静态数据。源代码和数据已发布于 https://github.com/ThuDoMinh1102/confucian-texts-knowledge-graph。