The method of constructing domain ontology (DO) models is one of the hot issues in ontology research. At present, researchers have conducted in-depth research on the theory and application of ontology construction from their own research fields and obtained abundant research results. However, it is still a puzzle to construct DO models by mining semantic information in web news. Based on the analysis of network news data, this paper proposed a dynamic DO model based on the concept of semantic information optimization and matching and designs an ontology structure updating algorithm according to the relationship between semantic triple concept and pattern to ensure the ability of ontology to keep learning new data structures. Experiments showed that the coverage rate of the ontology model exceeded 70% when processing news data, and it can extract different semantic information of a certain topic news fact, proving the effectiveness of semi-automatic construction of network news DO.
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