Multi-source knowledge integration based on machine learning algorithms for domain ontology
Multi-source knowledge integration based on machine learning algorithms for domain ontology is a scholarly work, published in 2018 in ''Neural Computing and Applications''. The main subjects of the publication include information retrieval, ontology learning, -, natural language processing, graph, artificial intelligence, upper ontology, domain knowledge, data quality, computer science, ontology, ontology-based data integration, machine learning, Suggested Upper Merged Ontology, Semantic Web, and domain. In this paper, a new approach of automatic building for domain ontology based on machine learning algorithm is proposed, and by which the large-scale e-Gov ontology is built automatically.