海量非结构化数据智能取证模式的设计与应用

Lu Wenhua, Su Kexin
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引用次数: 0

摘要

非结构化数据的比例远远大于结构化数据的比例。然而,在非结构化数据处理与分析方法领域开展的研究并不像结构化数据处理与分析那样深入。本文主要论述了非结构化数据研究的重要性。从数字调查的角度,进一步阐释了非结构化数据处理与分析中使用的关键技术,如命名实体识别、实体关系提取、Web数据提取等。本文结合自主开发的“海量案件信息智能分析系统”,以中国大陆网络赌球案件的处理为背景,在使用和应用方面,对非结构化数据处理分析在数字侦查中的应用进行了详细的说明。关键词:智能取证软件;海量非结构化数据;命名实体识别;实体关系提取;网上赌球
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Application of Intelligent Forensics Schema For Mass Unstructured Data
The proportion of unstructured data is much bigger than that of structured data. However, the research carried out in the field of the methods of unstructured data processing and analysis is not as intensive as that of structured data processing and analysis. This paper mainly involves the importance of the research on unstructured data. From the perspective of digital investigation, it further interprets the key techniques used in the processing and analysis of unstructured data, such as naming entity recognition, entity relation extracting, Web data extracting, etc. Combining the selfdeveloped “Intelligent Analyzing System for Mass Case Information” and taking handling the online ball gambling cases in Chinese Mainland as the background in terms of the usage and application, this paper gives detailed explanation to the application of unstructured data processing and analysis in digital investigation in detail. Keywords-Intelligent Forensics Software, Mass Unstructured Data; Naming Entity Recognition; Entity Relation Extraction; Online Ball Gambling
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