Path Ranking with Path Difference Sets for Maintaining Knowledge Base Integrity.
Journal
Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018
Pages
67-68
Date Issued
2018
Author(s)
Abstract
Knowledge base completion (KBC) involves in discovering missing facts. However, knowledge changes over time. Some facts need to be removed from knowledge base (KB) to keep knowledge base integrity (KBI) while new facts are inserted or old facts are deleted. This paper proposes a path-based learning model to learn the dependency of dynamic relations automatically. In this way, we can eliminate the conflicting facts and keep KB clean. That would be a significant benefit for KBC and other tasks using KB. © 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.
Subjects
knowledge base completion; knowledge base integrity; path ranking
SDGs
Other Subjects
World Wide Web; Difference sets; Dynamic relation; Knowledge base; Knowledge change; Learning models; Path ranking; Path-based; Knowledge based systems
Type
conference paper