文献类型：会议论文

英文题名：On Evaluating Web-Scale Extracted Knowledge Bases in a Comparative Way

作者：Ruan, Tong[1];Zhao, Liang[1];Li, Yang[1];Wang, Haofen[1];Dong, Xu[1]

机构：[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai, Peoples R China

会议论文集：6th Joint International Semantic Technology Conference (JIST)

会议日期：NOV 02-04, 2016

会议地点：Singapore, SINGAPORE

语种：英文

外文关键词：Assessment Tool; Chinese KB; Data Quality; DBpedia; Knowledge Base; Linked Open Data; SSCO; YAGO; zhishi.me

摘要：In this article, the authors design two metric sets considering Richness and Correctness based on a quasi-formal conceptual representation. They also design a novel metric set on overlapped instances of different KBs to make the metric results comparable. Finally, they use random sampling techniques to reduce human efforts for assessing the correctness. The authors evaluate three large Chinese KBs including DBpedia Chinese, Zhishi. me and SSCO comparatively, and further compare them with English KBs in terms of data set qualities. They also compare different versions of DBpedia and YAGO. The findings in these KBs not only give a detailed report of the current situation of extracted KBs, but also show the effectiveness of their methods in assessing the quality of Web-Scale KBs comparatively.