基于知识图谱的搜索引擎技术研究与应用  

Research and application of search engine technology based on knowledge map

作　　者：刘昱甫 Liu Yufu(Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学,北京100084

出　　处：《无线互联科技》2021年第6期95-96,共2页Wireless Internet Technology

摘　　要：现代信息技术的发展使得网络中的信息数据呈爆炸式增长。海量的数据确实对社会发展产生了巨大贡献,但同时庞大数据的提取与应用则成为一个难题,尤其在对成千上万类别的信息数据进行搜索时,其为搜索引擎的功能、性能都带来巨大考验。现有的搜索引擎主要是针对网络中的数据全文进行索引,而缺少足够的针对性,难以充分满足用户的信息筛选需求。因此,如何对现有搜索引擎技术进行改善和优化就成为互联网领域的一个重要研究课题。文章主要围绕特定领域内基于知识图谱的搜索引擎技术及其实现展开研究,提出了一种更能够理解用户需求的搜索引擎解决方案。The development of modern information technology has caused a explosive growth of information data on the Internet.Massive data does make a huge contribution to development of society,but at the same time,the extraction and application of huge data has become a problem,especially when searching for thousands of categories of information,the massive amount of information brings big functional and performance challenges to search engines.Existing search engines mainly index the full text of data on the Internet,but lack sufficient pertinence,so it is difficult to fully meet the filtering needs of users.In this regard,how to improve and optimize the existing search engine technology has become an important research topic.This article mainly focuses on the research of search engine technology and its realization based on knowledge graph in a specific field,and proposes a search engine solution that can better understand user needs.

关 键 词：搜索引擎 知识图谱 数据提取 用户需求 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]