期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2016
卷号：39
期号：3
页码：41
出版社：IEEE Computer Society
摘要：This article is a retrospective on the theme of knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources. We draw on our experience in the Yago-Naga project over thelast decade, but consider other projects as well. The article discusses lessons learned on the architecture of aknowledge harvesting system, and points out open challenges and research opportunities.
