The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing

arXiv:2404.08313v1 Announce Type: new
Abstract: The Knowledge Graph Entity Typing (KGET) task aims to predict missing type annotations for entities in knowledge graphs. Recent works only utilize the \textit{\textbf{structural knowledge}} in the local neighborhood of entities, disregarding \textit{\textbf{semantic knowledge}} in the textual representations of entities, relations, and types that are also crucial for type inference. Additionally, we observe that the interaction between semantic and structural knowledge can be utilized to address the false-negative problem. In this paper, we propose a …

abstract annotations arxiv cs.ai cs.cl graph graphs integration knowledge knowledge graph knowledge graphs relations semantic textual type types typing