Ontology Alignment for Accurate Ontology Matching: A Survey
H Khan, M Saqib, HA Khattak, SI Ali, S Lee - International Conference on …, 2023 - Springer
Edge computing, a distributed computing architecture within the knowledge-defined network
(KDN), faces challenges due to the significant disparities and data heterogeneity among its
nodes, hindering their interaction. Ontology, a solution within the Semantic Web, is well-
suited for addressing data heterogeneity and matching ontologies effectively. However,
ontology matching presents difficulties due to non-linear mathematical issues. To overcome
these challenges, the generative adversarial network (GAN), an unsupervised learning …
(KDN), faces challenges due to the significant disparities and data heterogeneity among its
nodes, hindering their interaction. Ontology, a solution within the Semantic Web, is well-
suited for addressing data heterogeneity and matching ontologies effectively. However,
ontology matching presents difficulties due to non-linear mathematical issues. To overcome
these challenges, the generative adversarial network (GAN), an unsupervised learning …
[PDF][PDF] Ontology Alignment for Accurate Ontology Matching: A Survey
S Lee - Digital Health Transformation, Smart Ageing, and … - library.oapen.org
Edge computing, a distributed computing architecture within the knowledge-defined network
(KDN), faces challenges due to the significant disparities and data heterogeneity among its
nodes, hindering their interaction. Ontology, a solution within the Semantic Web, is well-
suited for addressing data heterogeneity and matching ontologies effectively. However,
ontology matching presents difficulties due to non-linear mathematical issues. To overcome
these challenges, the generative adversarial network (GAN), an unsupervised learning …
(KDN), faces challenges due to the significant disparities and data heterogeneity among its
nodes, hindering their interaction. Ontology, a solution within the Semantic Web, is well-
suited for addressing data heterogeneity and matching ontologies effectively. However,
ontology matching presents difficulties due to non-linear mathematical issues. To overcome
these challenges, the generative adversarial network (GAN), an unsupervised learning …
以上显示的是最相近的搜索结果。 查看全部搜索结果