基金项目

面向数据科学与大数据技术专业的知识图谱构建

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  • 大连理工大学城市学院

网络出版日期: 2024-05-11

Knowledge Graph Construction for Data Science and Big Data Technology

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  • Dalian University of Technology

Online published: 2024-05-11

摘要

知识图谱已经在知识表示和管理方面进行了创新,广泛应用于智能搜索和问答等领域,但在教育教学领域的应 用相对较少。基于知识图谱和自然语言处理技术,梳理课程教学计划的主要组成要素,从人才培养方案和课程教学计划中抽 取课程实体、属性和关系等信息,设计了数据科学与大数据技术专业课程体系本体模型,实现了数据科学与大数据技术专业课 程体系知识图谱的构建。

本文引用格式

王梓铭 肖大薇 刘亚楠 . 面向数据科学与大数据技术专业的知识图谱构建[J]. 电脑与电信, 2024 , 1(1) : 32 -34 . DOI: 10.15966/j.cnki.dnydx.2024.z1.007

Abstract

Knowledge graph has been innovated in knowledge representation and management, and is widely used in fields such as intelligent search and question answering, but it has relatively few applications in the field of education and teaching. Based on knowledge graph and natural language processing technology, the main components of the course teaching plan are sorted out, the in‐ formation such as course entities, attributes and relationships are extracted from the talent training scheme and the course teaching plan, and the ontology model of the data science and big data technology professional course system is designed, which realizes the construction of the knowledge graph of the data science and big data technology professional course system.
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