Mei Chen, Yunsheng Xu, Nan Wu, Ying Pan*
CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5307-5324, 2025, DOI:10.32604/cmc.2024.060993
- 06 March 2025
Abstract With the development of the Semantic Web, the number of ontologies grows exponentially and the semantic relationships between ontologies become more and more complex, understanding the true semantics of specific terms or concepts in an ontology is crucial for the matching task. At present, the main challenges facing ontology matching tasks based on representation learning methods are how to improve the embedding quality of ontology knowledge and how to integrate multiple features of ontology efficiently. Therefore, we propose an Ontology Matching Method Based on the Gated Graph Attention Model (OM-GGAT). Firstly, the semantic knowledge related… More >
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