Extracting Relations from Web Tables by Leveraging Table Entity Behaviours 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
2019 IEEE 13th International Conference on Semantic Computing: IEEE 13th International Conference on Semantic Computing (ICSC), 30 Jan.-1 Feb. 2019, Newport Beach, CA, USA
出版年
2019
页码
1-6
会议地点
Newport Beach
作者单位
Department of Computer Science and Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science and Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science and Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science and Engineering, University of Moratuwa, Sri LankaDepartment of Computer Science and Engineering, University of Moratuwa, Sri Lanka
作者
Lahiru De Alwis;Achala Dissanayake;Manujith Pallewatte;Kalana Silva;Uthayasanker Thayasivam
摘要
Relation extraction from web tables contributes to a range of key semantic web applications including semantic table interpretation, RDF triplet extraction, and knowledge base augmentation. The structure of a table inherently provides high quality semantic relations between its columns. This paper introduces RelX, a novel, non exhaustive, fast converging algorithm for extracting column relations from web tables. RelX leverages existing linked data to infer relationships between table entities by observing their behaviours in the data. On carrying out preliminary evaluations, this technique yielded high quality and high accuracy against a manually annotated data-set.
机翻摘要
暂无翻译结果,您可以尝试点击头部的翻译按钮。
关键词
Knowledge based systems;Semantics;Task analysis;Sociology;Statistics;Linked data;Data mining
若您需要申请原文,请登录。

最新评论

暂无评论。

登录后可以发表评论

意见反馈
返回顶部