古农书翻译与知识组织研究

Research on the Translation and Knowledge Organization of Ancient Agricultural Books

在探寻古农书知识的深层脉络中,文章从跨学科视角开发了一种创新的古农书翻译与知识图谱构建方法。该方法不仅有利于深化对古农书的理解,也为古农书的文化传承与现代应用提供了新的思路。首先通过训练和微调古代汉语到现代汉语的机器翻译模型,完成古农书的翻译并构建古农书平行语料库以辅助人工标注与古农书知识图谱构建。接着,本文通过知识标注、实体抽取、关系抽取等数据挖掘技术,对古农书的非结构化知识进行系统梳理与组织。最终,构建的知识图谱不仅仅是对古农书知识的再现,更是对这些知识进行深入探索与应用的工具。研究结果揭示了所提方法在促进古农书知识理解、应用与传播方面的有效性以及跨学科方法在古农书研究中的重要性。

In exploring the deep context of ancient agricultural book knowledge,this paper develops an innovative method of ancient agricultural book translation and knowledge graph construction from an interdisciplinary perspective.This method not only helps to deepen the understanding of ancient agricultural books,but also provides new ideas for the cultural inheritance and modern application of ancient agricultural books.First of all,by training and fine-tuning the machine translation model from ancient Chinese to modern Chinese,we complete the translation of ancient agricultural books and build a parallel corpus of ancient agricultural books to assist manual tagging and the construction of knowledge graph of ancient agricultural books.Then,this paper systematically combs and organizes the unstructured knowledge of ancient agricultural books through data mining techniques such as knowledge tagging,entity extraction,relationship extraction and so on.Finally,the knowledge graph constructed is not only the reproduction of the knowledge of ancient agricultural books,but also a tool for in-depth exploration and application of this knowledge.The results reveal the effectiveness of the proposed methods in promoting the understanding,application and dissemination of ancient agricultural book knowledge,as well as the importance of interdisciplinary methods in the study of ancient agricultural books.