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CKGSE:A Prototype Search Engine for Chinese Knowledge Graphs
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作者 Xiaxia Wang Tengteng Lin +2 位作者 Weiqing Luo Gong Cheng Yuzhong Qu 《Data Intelligence》 EI 2022年第1期41-65,共25页
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 ... 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. 展开更多
关键词 Knowledge graph Search engine snippet generation Dataset profiling BROWSING
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