Knowledge extraction system and knowledge extraction method based on large language model algorithm

The invention discloses a knowledge extraction system and method based on a large language model algorithm, and the system comprises a data collection and cleaning module, an entity and relation extraction module, an entity disambiguation and alignment module, and a knowledge storage module. The knowledge extraction system is arranged on a data collection layer, a data filtering layer, a knowledge extraction layer, a knowledge disambiguation layer and a knowledge storage layer respectively and used for achieving knowledge extraction and dynamically evaluating actual requirements of an external knowledge base in the knowledge extraction process, the knowledge extraction efficiency can be improved, and an extraction result with higher quality can be output. 本申请公开了一种基于大语言模型算法的知识抽取系统以及知识抽取方法，其中，基于大语言模型算法的知识抽取系统包括数据收集与清洗模块、实体与关系抽取模块、实体消歧与对齐模块、知识存储模块，分别设置在数据收集层、数据过滤层、知识抽取层、知识消岐层与知识存储层，用于实现知识抽取，动态地评估在知识抽取过程中对外部知识库的实际需求，可以提高知识抽取的效率，输出更高质量的抽取结果。