Research And Implementation Of Semantic Retrieval System Based On Engineering Testing Technology Ontology

With the development of engineering testing technology,the knowledge,technology and experience contained in this field are increasing day by day.For enterprises in this field,it is particularly important to effectively carry out knowledge management on these contents to achieve efficient learning and technology transfer.However,the existing knowledge management tools for such requirements cannot meet the needs of users.If a set of solutions for such requirements can be put forward and applied to the field of engineering testing technology,the pressure on the demand for enterprise-level knowledge management in this field can be alleviated.In this paper,based on natural language processing technology,combined with domain ontology,semantic retrieval model,ontology construction algorithm and other related technologies,a solution for the application development of knowledge management in the field of engineering testing technology is proposed,and a semantic retrieval system based on engineering testing technology ontology is implemented.The research contents of this paper are as follows:Firstly,by studying the existing ontology extraction algorithms,a term extraction algorithm based on comprehensive feature strategy and a term relation extraction algorithm based on primary and secondary clustering are proposed successively,which constitute the ontology extraction algorithm together.This algorithm overcomes the problem of weight bias of terms and term relations caused by different features in ontology extraction algorithm,and proposes specific strategies for different features.Experimental results show that the algorithm improves the accuracy of term extraction and term relation extraction effectively.Secondly,based on the ontology automatic extraction algorithm proposed above,an ontology construction method based on the comprehensive feature strategy is proposed.Aiming at the engineering testing technology field,the domain ontology construction is carried out.The proposed ontology construction method is implemented,and the OWL file of engineering testing technology ontology is generated by Protege tool.Then,through the analysis of the current trend of information retrieval,user requirement model is put forward,and based on user demand model and the analysis of classical information retrieval model,the demand of fusion information retrieval based on ontology model is put forward,mainly include: the query agent,persistence,ontology,classical model,five modules such as user requirement model.Finally,the Java language is used to analyze and reason the OWL files of the ontology,and the design and implementation of the semantic retrieval system based on the engineering testing technology ontology are completed.It mainly includes: system requirement analysis,system introduction and platform selection,function realization,system testing and analysis,etc.