Metaheuristics-based ontology meta-matching approaches

Ontologies have emerged to establish a well-defined meaning for information, solving problems of heterogeneity in data semantics and facilitating the process of information exchange. However, ontologies have generated a new semantic problem, since using more than one ontology can generate ambiguity in the meaning of a given data. The problem of ontology matching is to search for relationships between entities of distinct ontologies, solving the problem of semantic heterogeneity of the data. The problem is a relevant issue in the area of knowledge representation and several approaches have been proposed to solve it. This work presents a sys-tematic mapping of the main works published in the area with an emphasis on metaheuristics-based meta -matching approaches.

Automated summary

Ontologies establish meanings for information, solving data semantic heterogeneity issues and aiding information exchange, but using multiple ontologies may introduce ambiguity. Ontology matching searches for relationships between entities of distinct ontologies, addressing semantic heterogeneity problems in data, and has seen various metaheuristics-based meta-matching approaches proposed to tackle this issue.