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GraphMatcher: A Graph Representation Learning Approach for Ontology Matching

2024-04-20 18:30:17
Sefika Efeoglu
arXiv_AI
           
Abstract

Ontology matching is defined as finding a relationship or correspondence between two or more entities in two or more ontologies. To solve the interoperability problem of the domain ontologies, semantically similar entities in these ontologies must be found and aligned before merging them. GraphMatcher, developed in this study, is an ontology matching system using a graph attention approach to compute higher-level representation of a class together with its surrounding terms. The GraphMatcher has obtained remarkable results in in the Ontology Alignment Evaluation Initiative (OAEI) 2022 conference track. Its codes are available at ~\url{this https URL}.

Abstract (translated)

语义匹配是一种在两个或多个语义网之间查找关系或对应关系的任务。为了解决领域语义网之间的互操作性问题，本研究开发了一种基于图注意力的语义匹配系统，用于计算类及其周围术语的高级表示。GraphMatcher在2022年Ontology Alignment Evaluation Initiative（OAEI）会议跟踪中取得了显著的成果。其代码可在此处下载：https://this https URL。

URL

https://arxiv.org/abs/2404.14450

PDF

https://arxiv.org/pdf/2404.14450.pdf

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