文献类型：期刊文献

英文题名：On evaluating web-scale extracted knowledge bases in a comparative way

作者：Ruan, Tong[1]; Zhao, Liang[2]; Li, Yang[3]; Wang, Haofen[4]; Dong, Xu[5]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China; [2] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China; [3] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China; [4] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China; [5] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2018

卷号：14

期号：1

起止页码：98

外文期刊名：International Journal on Semantic Web and Information Systems

收录：EI(收录号：20175204568684)

语种：英文

外文关键词：Linked data - Open Data

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. Copyright ? 2018, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.