文章基本信息

标题：Semantic Crime Investigation System
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作者：Eman K. Elsayed ; Wafaa Ghonaim ; Eman Zeaar 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2018
卷号：13
期号：10
页码：1216-1226
DOI：10.17706/jcp.13.10.1216-1226
语种：English
出版社：Academy Publisher
摘要：Fusion the direct and indirect evidences with crime knowledge base is important challenge in Automate the crime-solving processes. So, this paper proposed SCIS (Semantic Crime Investigation System), which supports investigator to take a certainty decision based on result of the fusion. The solution proposed in this paper (SCIS) used Ontology re-engineering to create Crime Universal Ontology which includes kinesics Ontology. Also SCIS applied sentiment analysis and image processing techniques. These concepts work together in SCIS in three phases to support the investigator by detailed collected report. The investigator can use SCIS as a mobile application. The proposed system is Automatic, mobile, general, scalable and fast system. Finally, in this paper there is a real case study.
关键词：Crime investigation; ontology based; image processing; sentiment analysis; kinesics.