CCKS 2021 | Content-Based Open Knowledge Graph Search: A Preliminary Study with OpenKG.CN. 【Xiaxia Wang, Tengteng Lin, Weiqing Luo, Gong Cheng, Yuzhong Qu】

Abstract. Users rely on open data portals and search engines to find open knowledge graphs (KGs). However, existing systems only provide metadata-based KG search but ignore the contents of KGs, i.e., triples. In this paper, we present one of the first content-based search engines for open KGs. Our system CKGSE supports keyword-based KG search, KG snippet generation, KG profiling and browsing, all computed over KGs' (large) contents rather than their (small) metadata. We implement a prototype with Chinese KGs crawled from OpenKG.CN and we report some preliminary results about the practicability of such a system.