论文标题
一种基于图形的知识自动化系统文献评论的方法
A Knowledge Graph-Based Method for Automating Systematic Literature Reviews
论文作者
论文摘要
系统文献综述旨在调查当前的方法以结论研究差距或确定未来派方法。它们代表了研究活动的重要组成部分，新概念源于该活动。但是，随着出版物以快速增长的速度供应，尤其是在数字上，有效筛选和评估相关出版物变得具有挑战性。另一个挑战是长期以来对相关工作的持续评估，因此需要进行连续更新的需求，这可能是一项耗时的任务。知识图以连接的方式模型实体，并使用不同的推理和分析方法启用新见解。这项工作的目的是提出一种方法，以部分自动化系统文献综述的传导，并将结果分类为知识图。与手动传导相比，设计的软件原型用于对具有相当准确的结果的自动化系统中的上下文意识进行审查。
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.
