Automatic Relationship Construction in Domain Ontology Engineering using Semantic and Thematic Graph Generation Process and Convolution Neural Network

The proposed methodology uses semantic and thematic graph generation to extract useful knowledge, together with data mining and web techniques to improve search speed and information retrieval accuracy. It creates a hierarchical interpretation of data and uses a dynamic labeling scheme with convolutional neural networks for automated, domain-independent ontology construction.