基于知识图谱的问答系统研究
Research on Knowledge Graph Based Question Answering System
陈海红1
作者信息
摘要
随着信息时代的快速发展,问答系统作为知识获取的重要工具,其研究和应用价值日益凸显.传统的问答系统主要依赖于关键词匹配或预先定义模板,难以处理复杂、具有深度的问题,而基于知识图谱的问答系统应用先进的语言系统进行问题解答,用户能高效、准确地获取所需信息.文章将深入探讨知识图谱的构建、表示与更新,以及基于知识图谱的问答系统的设计、实现与应用,通过案例分析,揭示其面临的挑战与未来发展方向,并为问答系统的进一步发展提供有益的参考和启示,希望能够给人们获取知识带来更为便捷和智能的体验.
Abstract
With the rapid development of the information age,question answering systems,as an important tool for knowledge acquisition,have increasingly highlighted their research and application value.Traditional question answering systems mainly rely on keyword matching or pre-defined templates,making it difficult to handle complex and deep questions.However,knowledge graph based question answering systems apply advanced language systems for question answering,allowing users to efficiently and accurately obtain the required information.This article will delve into the construction,representation,and updating of knowledge graphs,as well as the design,implementation,and application of knowledge graph based question answering systems.Through case analysis,it will reveal the challenges and future development directions it faces,and provide useful reference and inspiration for the further development of question answering systems.It will also bring more convenient and intelligent experiences for people's knowledge acquisition.
关键词
知识图谱/问答系统/构建Key words
knowledge graph/question answering systems/structure引用本文复制引用
出版年
2024
NETL
NSTL
万方数据