Research on knowledge acquisition method from domain text

To enhance the efficiency and accuracy of knowledge acquisition, based on the aviation product failure analysis, a knowledge acquisition framework is proposed. Sentence templates are defined to extract the meta-knowledge and RDF is used to manage the extracted knowledge. Then domain concepts are discovered from RDF documents by using LSI-SVD and taxonomy knowledge are found through domain text analysis by using a text clustering method named as dominant-set. At last, a prototype is developed to acquire knowledge from failure analysis reports of aviation product. Empirical results show that the framework can acquire knowledge from domain text efficiently.