基于知识图的系统化文献综述自动化方法

N. Sahlab, Hesham Kahoul, N. Jazdi, M. Weyrich
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引用次数: 2

摘要

系统文献综述的目的是调查当前的方法,以总结研究差距或确定未来的方法。它们是研究活动的重要组成部分,从中产生新的概念。然而,随着出版物的大量可用性以快速增长的速度增长,特别是数字出版物,有效地筛选和评估相关出版物变得具有挑战性。另一个挑战是在很长一段时间内持续评估相关工作,并因此需要持续更新,这可能是一项耗时的任务。知识图以连接的方式对实体进行建模,并使用不同的推理和分析方法提供新的见解。这项工作的目标是提出一种方法来部分自动化进行系统文献综述,并将结果分类和可视化为知识图。所设计的软件原型用于对自动化系统中的上下文感知进行审查,与手动进行审查相比,结果相当准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Knowledge Graph-Based Method for Automating Systematic Literature Reviews
Systematic Literature Reviews aim at investigating current approaches to conclude a research gap or determine a futuristic approach. They represent a significant part of a research activity, from which new concepts stem. However, with the massive availability of publications at a rapid growing rate, especially digitally, it becomes challenging to efficiently screen and assess relevant publications. Another challenge is the continuous assessment of related work over a long period of time and the consequent need for a continuous update, which can be a time-consuming task. Knowledge graphs model entities in a connected manner and enable new insights using different reasoning and analysis methods. The objective of this work is to present an approach to partially automate the conduction of a Systematic Literature Review as well as classify and visualize the results as a knowledge graph. The designed software prototype was used for the conduction of a review on context-awareness in automation systems with considerably accurate results compared to a manual conduction.
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