Paper Info
Title
A Framework To Aggregate Multiple Ontology Matchers
Abstract
PurposeAlthough ontology matchers are annually proposed to address different aspects of the semantic heterogeneity problem, finding the most suitable alignment approach is still an issue. This study aims to propose a computational solution for ontology meta-matching (OMM) and a framework designed for developers to make use of alignment techniques in their applications.Design/methodology/approachThe framework includes some similarity functions that can be chosen by developers and then, automatically, set weights for each function to obtain better alignments. To evaluate the framework, several simulations were performed with a data set from the Ontology Alignment Evaluation Initiative. Simple similarity functions were used, rather than aligners known in the literature, to demonstrate that the results would be more influenced by the proposed meta-alignment approach than the functions used.FindingsThe results showed that the framework is able to adapt to different test cases. The approach achieved better results when compared with existing ontology meta-matchers.Originality/valueAlthough approaches for OMM have been proposed, it is not easy to use them during software development. On the other hand, this work presents a framework that can be used by developers to align ontologies. New ontology matchers can be added and the framework is extensible to new methods. Moreover, this work presents a novel OMM approach modeled as a linear equation system which can be easily computed.
Year
DOI
Venue
2020
10.1108/IJWIS-05-2019-0023
INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS
Keywords
DocType
Volume
Metadata and ontologies, Semantic interoperability, Schema matching
Journal
16
Issue
ISSN
Citations 
2
1744-0084
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jairo Francisco de Souza101.01
Sean Wolfgand Matsui Siqueira200.34
Bernardo Pereira Nunes318530.96