Technical review on ontology merging

Emergence of semantic web made available and accessible of many ontologies through web. It automatically increases the usage and application of ontologies. A single domain ontology is not sufficient to support the requirements anticipated by a distributed scenarios. More ontologies need to be utilised from other applications. These requirements motivate the integration of similar ontologies. However, the main issue is that there is no unique optimum solution for a merging methods and that merging can be achieved asymmetrically or symmetrically. In this paper, various merging techniques are analysed with its pros and cons. From that, the issues in the existing methods are listed and the possible research directions for future enhancement are discussed. Hope this can open a way to improve merging solutions as per the application requirements.

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Publication Details

Journal
International Journal of Advanced Intelligence Paradigms
Published
2025-01-01
DOI
https://doi.org/10.1504/ijaip.2025.147914
Primary Topic
Semantic Web and Ontologies
Type
article
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article

Technical review on ontology merging

M. Deivamani, Kaladevi Ramar
International Journal of Advanced Intelligence Paradigms
Semantic Web and Ontologies
article

Technical review on ontology merging

M. Deivamani, Kaladevi Ramar
article en

Abstract

Emergence of semantic web made available and accessible of many ontologies through web. It automatically increases the usage and application of ontologies. A single domain ontology is not sufficient to support the requirements anticipated by a distributed scenarios. More ontologies need to be utilised from other applications. These requirements motivate the integration of similar ontologies. However, the main issue is that there is no unique optimum solution for a merging methods and that merging can be achieved asymmetrically or symmetrically. In this paper, various merging techniques are analysed with its pros and cons. From that, the issues in the existing methods are listed and the possible research directions for future enhancement are discussed. Hope this can open a way to improve merging solutions as per the application requirements.

International Journal of Advanced Intelligence ParadigmsVol. 30(4)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Anna University, Chennai (IN)
Openalex Percentile: Top 89%
Semantic Web and Ontologies
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Technical review on ontology merging — M. Deivamani, Kaladevi Ramar · International Journal of Advanced Intelligence Paradigms (2025) | TGRS Research Map | TGRS