AiCE: automating horizon scanning for the detection of emerging technologies

D. Bongiorno, Nivedita Prakasan, Jordan Truswell, Michael Posadowski, James Walsh
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引用次数: 1

Abstract

In this paper a tool is presented for the automation of horizon scanning. Horizon scanning is the systematic process of examining the scientific literature to identify opportunities, risks, threats and emerging issues. This tool has been named the Autonomous information Comprehension Engine (AiCE). AiCE has the ability to ingest large quantities of unstructured text based data from a variety of sources, extract a wide variety of features and analyse trends across the corpus of collected source material. AiCE is used to analyse science and technology literature and identify developments which may be of strategic relevance to a specific domain. In this paper AiCE is introduced and its components are outlined. The benefit of the proposed system is demonstrated through a time expenditure study comparing this new system to the traditional manual process of horizon scanning. The proposed system is also demonstrated by analysing literature from the computer vision community to extract relevant research to the natural language processing community.
AiCE:自动水平扫描,用于检测新兴技术
本文提出了一种自动地平扫描工具。水平扫描是检查科学文献以识别机会、风险、威胁和新出现的问题的系统过程。这个工具被命名为自主信息理解引擎(AiCE)。AiCE有能力从各种来源摄取大量非结构化的基于文本的数据,提取各种各样的特征,并分析收集到的源材料的语料库的趋势。AiCE用于分析科学和技术文献,并确定可能与特定领域具有战略相关性的发展。本文介绍了该系统,并对其组成进行了概述。通过将该系统与传统的手动水平扫描过程进行时间花费研究,证明了该系统的优势。通过分析计算机视觉领域的文献,提取自然语言处理领域的相关研究,对所提出的系统进行了论证。
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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