Knowledge Graph Construction and Applications for Web Search and Beyond  

作　　者：Peilu Wang Hao Jiang Jingfang Xu Qi Zhang 

机构地区：[1]Sogou Inc.,Beijing 100084,China

出　　处：《Data Intelligence》2019年第4期333-349,共17页数据智能（英文）

摘　　要：Knowledge graph(KG)has played an important role in enhancing the performance of many intelligent systems.In this paper,we introduce the solution of building a large-scale multi-source knowledge graph from scratch in Sogou Inc.,including its architecture,technical implementation and applications.Unlike previous works that build knowledge graph with graph databases,we build the knowledge graph on top of SogouQdb,a distributed search engine developed by Sogou Web Search Department,which can be easily scaled to support petabytes of data.As a supplement to the search engine,we also introduce a series of models to support inference and graph based querying.Currently,the data of Sogou knowledge graph that are collected from 136 different websites and constantly updated consist of 54 million entities and over 600 million entity links.We also introduce three applications of knowledge graph in Sogou Inc.:entity detection and linking,knowledge based question answering and knowledge based dialog system.These applications have been used in Web search products to help user acquire information more efficiently.

关 键 词：Knowledge graph Search engine Question answering 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]