收稿日期: 2014-04-10
修回日期: 2014-05-12
网络出版日期: 2014-07-20
基金资助
本文系国家自然科学基金项目“科研团队动态演化规律研究”（项目编号：71273196）、北京市财政项目“大数据环境下情报服务规范化体系建设”（项目编号：PXM2013_178214_000010）和武汉大学自主科研项目（人文社会科学）“网络视角下的应急情报体系建设主题研究”（项目编号：274014，得到“中央高校基本科研业务费专项资金”资助）的研究成果之一。
An Approach for Constructing Expert Knowledge Map Based on OKM
Received date: 2014-04-10
Revised date: 2014-05-12
Online published: 2014-07-20
毛进 , 李纲 . 一种基于OKM的研究领域专家图谱构建方法[J]. 图书情报工作, 2014 , 58(14) : 34 -40 . DOI: 10.13266/j.issn.0252-3116.2014.14.005
This paper extracts research expertise features for experts from the text of papers published by them. Overlapping K-means(OKM) is then applied to divide experts into overlapping clusters in the research specialty, which identifies the multifold expertise for experts and assembles those who share the same kind of expertise. On the basis of graph theorem, overlapping expert clusters are transformed into the graph representation of experts in the research specialty. Hence, expert knowledge map for the research specialty can be constructed with the help of widely used graph visualization tools.
Key words： expert cluster; overlapping cluster; expert knowledge graph; OKM
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