Open AccessFoundational ontologies meet ontology matching: A survey
Author(s) -
Cássia Trojahn dos Santos,
Renata Vieira,
Daniela Schmidt,
Adam Pease,
Giancarlo Guizzardi
Publication year - 2022
Publication title -
semantic web
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.862
H-Index - 45
eISSN - 2210-4968
pISSN - 1570-0844
DOI - 10.3233/sw-210447
Subject(s) - ontology , computer science , ontology alignment , ontology components , upper ontology , interoperability , matching (statistics) , process ontology , ontology based data integration , open biomedical ontologies , strengths and weaknesses , information retrieval , data science , ontology language , world wide web , semantic web , epistemology , mathematics , philosophy , statistics
Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions to the problem have been proposed from different disciplines, including databases, natural language processing, and machine learning. The role of foundational ontologies for ontology matching is an important one, as they provide a well-founded reference model that can be shared across domains. It is multifaceted and with room for development. This paper presents an overview of the different tasks involved in ontology matching that consider foundational ontologies. We discuss the strengths and weaknesses of existing proposals and highlight the challenges to be addressed in the future.