A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education
We adopted the method of knowledge mapping to conduct in-depth visualization to propose the construction method of knowledge mapping-based inference of a healthy operation index in higher education (HOI-HE). For the first part, an improved named entity identification and relationship extraction meth...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-01-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023175?viewType=HTML |
| _version_ | 1797938788499980288 |
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| author | Yu Nie Xingpeng Luo Yanghang Yu |
| author_facet | Yu Nie Xingpeng Luo Yanghang Yu |
| author_sort | Yu Nie |
| collection | DOAJ |
| description | We adopted the method of knowledge mapping to conduct in-depth visualization to propose the construction method of knowledge mapping-based inference of a healthy operation index in higher education (HOI-HE). For the first part, an improved named entity identification and relationship extraction method is developed, incorporating a vision sensing pre-training algorithm named BERT. For the second part, a multi-decision model-based knowledge graph is used to infer the HOI-HE score by using a multi-classifier ensemble learning approach. The combination of two parts constitutes a vision sensing-enhanced knowledge graph method. The functional modules of knowledge extraction, relational reasoning and triadic quality evaluation are integrated to provide the digital evaluation platform for the HOI-HE value. The vision sensing-enhanced knowledge inference method for the HOI-HE is able to exceed the benefit of pure data-driven methods. The experimental results in some simulated scenes show that the proposed knowledge inference method can work well in the evaluation of a HOI-HE, as well as to discover some latent risk. |
| first_indexed | 2024-04-10T19:05:12Z |
| format | Article |
| id | doaj.art-0e2b010a742b4b8f8b4bd44727784643 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-04-10T19:05:12Z |
| publishDate | 2023-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-0e2b010a742b4b8f8b4bd447277846432023-01-31T02:02:37ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-01-012023731374810.3934/mbe.2023175A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher educationYu Nie 0Xingpeng Luo1Yanghang Yu2 Yunnan University of Finance and Economics, Kunming 650221, Yunnan, China Yunnan University of Finance and Economics, Kunming 650221, Yunnan, ChinaYunnan University of Finance and Economics, Kunming 650221, Yunnan, ChinaWe adopted the method of knowledge mapping to conduct in-depth visualization to propose the construction method of knowledge mapping-based inference of a healthy operation index in higher education (HOI-HE). For the first part, an improved named entity identification and relationship extraction method is developed, incorporating a vision sensing pre-training algorithm named BERT. For the second part, a multi-decision model-based knowledge graph is used to infer the HOI-HE score by using a multi-classifier ensemble learning approach. The combination of two parts constitutes a vision sensing-enhanced knowledge graph method. The functional modules of knowledge extraction, relational reasoning and triadic quality evaluation are integrated to provide the digital evaluation platform for the HOI-HE value. The vision sensing-enhanced knowledge inference method for the HOI-HE is able to exceed the benefit of pure data-driven methods. The experimental results in some simulated scenes show that the proposed knowledge inference method can work well in the evaluation of a HOI-HE, as well as to discover some latent risk.https://www.aimspress.com/article/doi/10.3934/mbe.2023175?viewType=HTMLknowledge graphvision sensinghealthy operation indexdata visualizationeducation management |
| spellingShingle | Yu Nie Xingpeng Luo Yanghang Yu A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education Mathematical Biosciences and Engineering knowledge graph vision sensing healthy operation index data visualization education management |
| title | A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education |
| title_full | A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education |
| title_fullStr | A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education |
| title_full_unstemmed | A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education |
| title_short | A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education |
| title_sort | vision sensing enhanced knowledge graph inference method for a healthy operation index in higher education |
| topic | knowledge graph vision sensing healthy operation index data visualization education management |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2023175?viewType=HTML |
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