Improved Method for Constructing Knowledge Ontology in Field of Aviation Manufacturing
The aviation industry plays a pivotal role in national defense,science and technology,and the economy,with aviation manufacturing as a crucial segment.However,due to the complexity of aircraft construction,the diverse types of components,and the vast amount of related data,traditional keyword-based retrieval methods often yield simple and low-relevance results,unable to directly capture the implicit relationships between knowledge.This paper proposes an improved method for constructing knowledge ontologies in the aviation manufacturing domain.This method aims to:1)extract figures,tables,vocabulary,and other essential elements from technical documents to establish the semantic re-lationships of the aviation domain knowledge ontology;2)enhance the efficiency of ontology knowledge construction;3)infer indirect relationships between ontology instances,thereby broadening the recall and precision of knowledge mining.Finally,the effectiveness of this method is validated through case studies.
Aviation manufacturingKnowledge managementOntology construction
NETL
NSTL
万方数据
