CKGSE:A Prototype Search Engine for Chinese Knowledge Graphs  

作　　者：Xiaxia Wang Tengteng Lin Weiqing Luo Gong Cheng Yuzhong Qu 

机构地区：[1]State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China

出　　处：《Data Intelligence》2022年第1期41-65,共25页数据智能（英文）

基　　金：supported by the Nantional Science Foundation of Chnia(No.62072224)

摘　　要：Nowadays,with increasing open knowledge graphs(KGs)being published on the Web,users depend on open data portals and search engines to find KGs.However,existing systems provide search services and present results with only metadata while ignoring the contents of KGs,i.e.,triples.It brings difficulty for users’comprehension and relevance judgement.To overcome the limitation of metadata,in this paper we propose a content-based search engine for open KGs named CKGSE.Our system provides keyword search,KG snippet generation,KG profiling and browsing,all based on KGs’detailed,informative contents rather than their brief,limited metadata.To evaluate its usability,we implement a prototype with Chinese KGs crawled from Open KG.CN and report some preliminary results and findings.

关 键 词：Knowledge graph Search engine Snippet generation Dataset profiling BROWSING 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]