SuperedgeRank算法及其在核心技术识别中的应用

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI:10.1109/ICSESS.2017.8342855

Jianguo Xu, Mengjun Li, Jiang Jiang, Hanlin You

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引用次数: 0

摘要

技术评价是技术管理领域的一个研究热点。核心技术的识别和评价难度较大。本文提出了一种结合网络拓扑分析和文本挖掘的框架来解决这一问题。首先，从涉及军事需求、装备系统、技术研究和科学知识的技术文献中提取关键词;然后，根据节点相似度设计了superedgeRank算法。最后，对无人装备技术进行了实例研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SuperedgeRank algorithm and its application for core technology identification

Technology evaluation is a research hotspot in technology management. And it is rather difficult to identify and evaluate core technology. This article proposes a framework which combined network topology analysis and text mining to solve it. Firstly, keywords were extracted from technical documents which are related to military requirement, equipment system, technology research and scientific knowledge. Then, superedgeRank algorithm was designed according to node similarity. Finally, a case study about unmanned equipment technology is presented.

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2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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