知识图谱研究综述

随着信息化社会的来临,各种互联网技术应运而生,数字信息已然成为当今社会中商家必争的宝贵财富资源。众多数字信息中,怎样帮助用户精准筛选出有效信息是当前搜索引擎所面临的巨大挑战。传统的互联网搜索仅仅是基于本文的链接,搜索时仅单纯的给出包含搜索词的网页,让用户去网页中寻找答案,这种检索方法耗时耗力,还不能准确给出用户想要的答案。由此谷歌率先提出以知识图谱(Knowledge Graph)为技术基础的的搜索引擎,这是搜索引擎界的一次重大变革。它以图的形式表现客观世界中的概念和实体及其之间关系,现如今广泛应用于语义搜索、智能问答、决策支持等智能服务领域。本文针对什么是知识图谱、如何表示构建知识图谱及知识图谱的主要应用作了详细阐述,希望更多的读者可以了解知识图谱及其对人工智能发展的巨大贡献。

Review on Knowledge Graphs

With the rapid development of Internet technology,a large amount of digital information is undoubtedly a valuable information wealth.How to help users retrieve effective information from a huge information network is a great challenge for search engines.The traditional Internet search is only based on the links in this article.When searching,only the web pages containing search words are simply given,and users are allowed to go to the web pages to find answers.This search method obviously can’t meet the needs of users.The search engine based on Knowledge Graphs emerged.It represents the concepts and entities in the objective world and their relationships in the form of graphs.Nowadays,it is widely used in intelligent service fields such as semantic search,intelligent question and answer,and decision support.This paper expounds the concept,representation,construction,storage and application of Knowledge Graph in detail,hoping that it can be used as the basis of knowledge map research and promote the faster development and wider application of knowledge map.