图书情报工作

图书情报工作 >

2014 , Vol. 58 >Issue 22: 84 - 94

DOI: https://doi.org/10.13266/j.issn.0252-3116.2014.22.014

知识组织

基于多源网络学术信息聚合的知识图谱构建研究

  • 张洋 ,
  • 谢卓力
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  • 1. 中山大学资讯管理学院;
    2. 广东财经大学图书馆
张洋,中山大学资讯管理学院副院长,教授,E-mail:zhyang2@mail.sysu.edu.cn;谢卓力,广东财经大学图书馆助理馆员.

收稿日期: 2014-09-15

  修回日期: 2014-10-27

  网络出版日期: 2014-11-20

基金资助

本文系国家社会科学基金项目“新型网络环境下学术期刊影响力的计量分析与评价研究”(项目编号:14BTQ067)和国家社会科学基金重大项目“基于语义的馆藏资源深度聚合与可视化展示研究”(项目编号:11&ZD152)研究成果之一.

收起

Construction of Knowledge Map Based on Aggregation of Multi-source Online Academic Information

  • Zhang Yang ,
  • Xie Zhuoli
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  • 1. School of Information Management, Sun Yat-sen University, Guangzhou 510006;
    2. Library of Guangdong University of Finance and Economics, Guangzhou 510320

Received date: 2014-09-15

  Revised date: 2014-10-27

  Online published: 2014-11-20

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摘要

以图书情报领域的学术信息为研究对象,选择有代表性的传统网络数据库、网络学术博客、网络学术论坛等信息平台为数据来源,采用共现分析方法构建基于不同信息源的知识图谱,包括单源、无权多源聚合、含权多源聚合、限定作者群的多源聚合等,通过对各种知识图谱进行比较分析探讨如何利用多源数据优化知识图谱的方法.研究表明,基于多源学术信息聚合的知识图谱能更好地反映知识类别的界限,知识构成更为紧密.

关键词： 网络信息计量学; 网络学术信息; 信息聚合; 共现分析; 知识图谱

本文引用格式

张洋 , 谢卓力 . 基于多源网络学术信息聚合的知识图谱构建研究[J]. 图书情报工作, 2014 , 58(22) : 84 -94 . DOI: 10.13266/j.issn.0252-3116.2014.22.014

Abstract

This paper takes the academic information in the field of library and information science for example and chooses online database, academic blog and academic forum as data sources.It constructs knowledge maps based on different sources including single source map, unweighted aggregation of multi-source map, weighted aggregation of multi-source map and restrict-author-group multi-source map in the method of co-occurrence analysis. Through the comparative analysis ondifferent knowledge maps, it explores how to make use of multi-source data to optimize the method of map construction. Research shows that the knowledge map based on multi-source information aggregation can better reflect the boundaries of knowledge and make the knowledge structure more close.

Key words： webometrics; online academic information; information aggregation; co-occurrence analysis; knowledge map

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