An Overview of Methods and Tools for Biomedical Ontology Matching

EasyChair Preprint 9649

Abstract

This paper presents a comprehensive analysis of current methods for biomedical ontology matching. Biomedical ontologies are an essential tool for organizing and representing biomedical knowledge, but their effectiveness depends on the ability to match concepts across different ontologies. We review several state-of-the-art methods for ontology matching, including lexical-based, structural-based, and semantic-based approaches. The analysis indicate that semantic-based methods perform better than lexical or structural-based methods. Machine learning can further improve the performance of biomedical ontology matching. The paper also discusses the challenges and future directions in biomedical ontology-matching research.

Keyphrases: Ontology Alignment, Ontology Matching, biomedical ontologies

@booklet{EasyChair:9649,
  author    = {Aditya Laghari},
  title     = {An Overview of Methods and Tools for Biomedical Ontology Matching},
  howpublished = {EasyChair Preprint 9649},
  year      = {EasyChair, 2023}}