摘要
知识图谱有助于指导学习者的学习,但知识图谱的庞大与复杂也给学习者带来一定的困惑,如无法鉴定其需要掌握重要或核心概念,这个问题在新兴学科的知识图谱中更为严重。为此,本文提出基于PageRank的核心概念识别方法,利用关系抽取绘制的知识图谱中,计算各概念的点度中心性,根据点度中心性的排序鉴定概念是否属于核心概念。通过实验验证,能够鉴定图谱中的核心概念,表明该方法具有一定的可行性。
The study of knowledge map can help guide the learner, but the knowledge map of large and complex also brings to the learners someconfused, unable to identify its need to grasp the key or core concept, this problem is more serious in the emerging discipline of knowledge map. To thisend, this paper proposes a core concept identification method based on PageRank, and calculates the centrality of each concept in the knowledge graphdrawn by the relation extraction, and whether the concept of the centrality of the centrality is the core concept. Through experimental verification, thecore concept in the map can be identified, which indicates that this method is feasible.
作者
王祎珺
高俊平
WANG Yi-jun;GAO Jun-ping(Network and Information Center, Southwest Petroleum University, Chengdu Sichuan 610500;Graduate School （First-Class Academic Program Office）, Southwest Petroleum University, Chengdu Sichuan 610500)
出处
《数字技术与应用》
2018年第3期56-57,共2页
Digital Technology & Application
