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Construction Method Of Knowledge Grapg Based On Engineering Education

Posted on:2022-02-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y YangFull Text:PDF
GTID:2518306764494624Subject:Internet Technology
Abstract/Summary:PDF Full Text Request
With the advent of the information data age,extract knowledge from large amounts of data on the Internet,which has become a key basis for building knowledge map and research in the field of development.Knowledge Mapping technology from large amounts of data over the Internet to extract data out of the system,which has been applied to various fields.As China's cultural and educational progress,sound and rapid economic and social development of students of engineering capabilities will also be able to steadily increase.In the field of engineering education,knowledge mapping can effectively help students obtain rich knowledge resources on the Internet,so as to improve students' ability of active learning.And knowledge mapping is a kind of network database in essence,and its expression ability is very high.Therefore,the knowledge map application in the field of engineering education can help students in the process of active learning,the need to quickly find focus index,improve their learning efficiency.In this paper,by BILSTM-CRF model and BERT model combined extract data entity relationships in engineering education,build mapping knowledge in the field of engineering education.Given that BILSTM can capture more contextual information from the sentence and solve the problem of gradient disappearance during training,the CRF layer can ensure the effectiveness of the final prediction result.The Bert model can improve the semantic analysis ability of word vector model,and it is more adequate in describing character level,word level,sentence level or relationship characteristics between sentences,and is easy to transfer.Very suitable for the data of this paper in the field of engineering education.Since the extracted data will always be missing data,this study proposes to use the knowledge reasoning model Trans E to supplement and improve the extracted knowledge map data to realize the continuous update of the knowledge map.Finally,through the analysis of the data results of the knowledge map constructed in this paper,we can find an effective way to improve students' engineering capabilities through the development of indicators.
Keywords/Search Tags:engineering education, knowledge graph, knowledge reasoning, machine learning, deep learning
PDF Full Text Request
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