Biomedical Knowledge Graph Refinement with Embedding and Logic Rules

12/02/2020
by   Sendong Zhao, et al.
0

Currently, there is a rapidly increasing need for high-quality biomedical knowledge graphs (BioKG) that provide direct and precise biomedical knowledge. In the context of COVID-19, this issue is even more necessary to be highlighted. However, most BioKG construction inevitably includes numerous conflicts and noises deriving from incorrect knowledge descriptions in literature and defective information extraction techniques. Many studies have demonstrated that reasoning upon the knowledge graph is effective in eliminating such conflicts and noises. This paper proposes a method BioGRER to improve the BioKG's quality, which comprehensively combines the knowledge graph embedding and logic rules that support and negate triplets in the BioKG. In the proposed model, the BioKG refinement problem is formulated as the probability estimation for triplets in the BioKG. We employ the variational EM algorithm to optimize knowledge graph embedding and logic rule inference alternately. In this way, our model could combine efforts from both the knowledge graph embedding and logic rules, leading to better results than using them alone. We evaluate our model over a COVID-19 knowledge graph and obtain competitive results.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

06/20/2019

Probabilistic Logic Neural Networks for Reasoning

Knowledge graph reasoning, which aims at predicting the missing facts th...
03/09/2019

Logic Rules Powered Knowledge Graph Embedding

Large scale knowledge graph embedding has attracted much attention from ...
11/12/2020

Theoretical Knowledge Graph Reasoning via Ending Anchored Rules

Discovering precise and specific rules from knowledge graphs is regarded...
09/18/2020

EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective

Knowledge graph completion aims to predict the new links in given entiti...
01/05/2022

Relationship extraction for knowledge graph creation from biomedical literature

Biomedical research is growing in such an exponential pace that scientis...
02/18/2019

SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement

Knowledge graph (KG) refinement mainly aims at KG completion and correct...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.