An Improved Structural-Based Ontology Matching Approach Using Similarity Spreading

Mani Sengodan; Annadurai Samukutty

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An Improved Structural-Based Ontology Matching Approach Using Similarity Spreading

机译：An Improved Structural-Based Ontology Matching Approach Using Similarity Spreading

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摘要

An increasing number of ontologies demand the interoperability between them in order to gain accurate information. The ontology heterogeneity also makes the interoperability process even more difficult. The existing ontology matching systems are mainly focusing on subject derivatives of the concern domain. Since ontologies are represented as data models in a structured format, in this paper, a new modified model of similarity spreading for ontology mapping is proposed. In this approach, the mapping mainly involves with node clustering based on edge affinity, and then the graph matching is achieved by applying coefficient similarity propagation. This process is carried out by iterative manner, and at the end, the similarity score is calculated for iteration. This model is evaluated in terms of precision, recall, and f-measure parameters, and it is found that it outperforms similar systems.

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来源
《International journal on Semantic Web and information systems》 |2022年第1期|共17页
作者
Mani Sengodan; Annadurai Samukutty;
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作者单位

Annasaheb Dange Coll Engn & Technol;

Hindusthan Coll Engn & Technol;

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原文格式 PDF
正文语种英语
中图分类计算机网络;
关键词
Coefficient Similarity Propagation; Graph Matching; Graph Similarity; Ontology Alignment; Ontology Mapping; Semantic Web; Similarity Flooding; Similarity Matching; ALGORITHM;

An Improved Structural-Based Ontology Matching Approach Using Similarity Spreading

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