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Argumentation Based Ontology Alignment Extraction

Authors :
Xingsi Xue
Wenyu Hu
Xiaojing Wu
Source :
Advances in Intelligent Systems and Computing ISBN: 9783030697167, AMLTA
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

The ontology matching technique aims at establishing the correspondence between two ontologies’ entities to solve their heterogeneity problem. In the matching process, the quality of the single matcher’s alignment can not be ensured. Usually, multiple matches are required to work together to increase the evidence of potential matches or mismatches. Selecting, combining, and adjusting these ontology matches to obtain high-quality ontology comparisons is one of the main challenges in ontology matching. This paper proposes an Argumentation Framework (A.F.) based on the ontology extracting technique to address this challenge. First, the proposed approach obtains the alignments obtained by different ontology matches. It extracts the final alignment by debating the disputed entity correspondences with A.F. The experiment is conducted on the Bibliographic track provided by Ontology Alignment Evaluation Initiative (OAEI), and the statistical comparison with the state-of-the-art ontology matching techniques shows the effectiveness of the proposed approach.

Details

ISBN :
978-3-030-69716-7
ISBNs :
9783030697167
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783030697167, AMLTA
Accession number :
edsair.doi...........83ddc0ed963ea4c7c20a806ecaf9702b
Full Text :
https://doi.org/10.1007/978-3-030-69717-4_96