基于知识图谱的科技创新指标自适应计算方法研究

doi:10.3772/j.issn.1000-0135.2019.08.007

情报学报

2019, Vol. 38

Issue (8): 826-837 DOI: 10.3772/j.issn.1000-0135.2019.08.007

情报分析方法与技术

本期目录 | 过刊浏览 | 高级检索

基于知识图谱的科技创新指标自适应计算方法研究

刘志辉, 魏娟霞, 张均胜

中国科学技术信息研究所，北京 100038

Adaptive Computing Method for the Determination of Scientific and Technological Innovation Indicators Based on a Knowledge Graph

Liu Zhihui, Wei Juanxia, Zhang Junsheng

Institute of Scientific and Technical Information of China, Beijing 100038

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摘要从科技决策实践来看，一方面多维度的创新理论为决策提供了多元化的理论支撑，另一方面科技创新数据可获得性的不断提高使决策呈现出了数据驱动的特点，这直接推动了面向循证决策的数据分析方法研究。本研究从知识组织的视角，构建了一种面向科技创新决策的知识图谱，实现科技创新分析三种要素，即以指标形式体现的理论，作为输入的数据以及作为输出的可视化之间的关联。该知识图谱的数据模式中定义了指标层、数据层和可视化层的类与属性，在此基础上应用知识推理机制建立三者之间的关联，从而有效支撑决策过程中科技创新指标的自适应计算。基于GII和MSTI指标体系的实例化应用，证明了这种方法在科技创新监测评估场景中的可行性与有效性。

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	刘志辉
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关键词 ：知识图谱, 科技决策, 科技创新, 指标, 自适应计算

收稿日期: 2019-03-14

基金资助:中央级公益性科研院所基本科研业务费专项资金项目“科技创新大数据决策分析平台建设”（ZD2019-08）；中国科学技术信息研究所创新研究基金项目“面向大数据情报分析的可信度评估方法研究”（MS2019-04）。

作者简介: 刘志辉，男，1979年生，博士，副研究员，硕士生导师，主要研究领域为情报分析方法、技术竞争情报与战略情报，E-mail:liuzhihui@istic.ac.cn

引用本文:

刘志辉, 魏娟霞, 张均胜. 基于知识图谱的科技创新指标自适应计算方法研究[J]. 情报学报, 2019, 38(8): 826-837.
Liu Zhihui, Wei Juanxia, Zhang Junsheng. Adaptive Computing Method for the Determination of Scientific and Technological Innovation Indicators Based on a Knowledge Graph. 情报学报, 2019, 38(8): 826-837.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2019.08.007 或 https://qbxb.istic.ac.cn/CN/Y2019/V38/I8/826

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