Academic Journal
A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education
| العنوان: | A vision sensing-enhanced knowledge graph inference method for a healthy operation index in higher education |
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| المؤلفون: | Yu Nie, Xingpeng Luo, Yanghang Yu |
| المصدر: | Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 3731-3748 (2023) |
| بيانات النشر: | AIMS Press, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Biotechnology LCC:Mathematics |
| مصطلحات موضوعية: | knowledge graph, vision sensing, healthy operation index, data visualization, education management, Biotechnology, TP248.13-248.65, Mathematics, QA1-939 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1551-0018 |
| Relation: | https://doaj.org/toc/1551-0018 |
| DOI: | 10.3934/mbe.2023175?viewType=HTML |
| DOI: | 10.3934/mbe.2023175 |
| URL الوصول: | https://doaj.org/article/0e2b010a742b4b8f8b4bd44727784643 |
| رقم الانضمام: | edsdoj.0e2b010a742b4b8f8b4bd44727784643 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 15510018 |
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| DOI: | 10.3934/mbe.2023175?viewType=HTML |