Conflict-aware multilingual knowledge graph completion
File(s)
Published version
Author(s)
Zhang, Weihang
Serban, Ovidiu
Sun, Jiahao
Guo, Yike
Type
Journal Article
Abstract
Knowledge graph completion (KGC), a task that aims at predicting missing links with existing information inside a knowledge graph (KG), has emerged as a popular research area in recent years. While many existing works have demonstrated effectiveness on a single knowledge graph KGC, limited effort has been devoted to exploring the potentially complementary nature of multiple KGs. In this work, we proposed a novel method called CA-MKGC (Conflict-aware Multilingual Knowledge Graph Completion) for multiple knowledge graph completion (MKGC), aiming to alleviate the sparseness of a single knowledge graph by leveraging information from other knowledge graphs. We designed an intra-KG graph convolutional network encoder that regards the seed alignments between KGs as edges for intra-KG message propagation to model all KGs in a unified model while also adopting an iterative mechanism to progressively incorporate newly predicted alignments along with the newly inferred facts into the learning process. Additionally, we employed an active learning mechanism and a greedy approximation to a semi-constrained optimization problem to focus on learning the structural prior knowledge that is difficult to learn in semantic space, limiting the propagation of error in the iterative training process. Experimental results on multilingual KG datasets demonstrated that our method achieved state-of-the-art results.
Date Issued
2023-12-03
Date Acceptance
2023-10-12
Citation
Knowledge-Based Systems, 2023, 281
ISSN
0950-7051
Publisher
Elsevier
Journal / Book Title
Knowledge-Based Systems
Volume
281
Copyright Statement
© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S0950705123008201
Subjects
Active learning
Computer Science
Computer Science, Artificial Intelligence
Knowledge graph
Knowledge graph completion
Knowledge representation
Knowledge transfer
Science & Technology
Technology
Publication Status
Published
Article Number
111070
Date Publish Online
2023-10-14