A Hierarchical Clustering Based Relation Extraction Method for Domain Ontology

At present, the focus of ontology learning is on the extraction of concepts and relations. The relation extraction is divided into hierarchical relation extraction and non-hierarchical relation extraction, and hierarchical relation extraction is the basis of non-hierarchical relation extraction. In this paper, the method of mixed hierarchical clustering is used to extract and classify domain concepts from textual corpora in different fields of Uyghur language. Due to the limitations of the text content selected in this paper and the difficulty of merging nodes by hierarchical clustering, although the results are not ideal, they basically conform to the ontology hierarchy form. The experimental results show that the method is feasible, and the factors such as increasing the vector dimension and the text content, can further improve the accuracy of the domain concept and relation.