面向数据科学与大数据技术专业的知识图谱构建
Knowledge Graph Construction for Data Science and Big Data Technology
王梓铭 1肖大薇 1刘亚楠1
作者信息
- 1. 大连理工大学城市学院,辽宁 大连 116600
- 折叠
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.
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.
关键词
数据科学与大数据技术/知识图谱/Neo4j图数据库Key words
data science and big data/knowledge graph/Neo4j graph database引用本文复制引用
基金项目
大连理工大学城市学院 2023年度教育教学研究基金(JXYJ2023017)
出版年
2024
NETL
NSTL
维普
万方数据