EVIDENCE DIRECTED GENERATION OF PLAUSIBLE CRIME SCENARIOS WITH IDENTITY RESOLUTION
EVIDENCE DIRECTED GENERATION OF PLAUSIBLE CRIME SCENARIOS WITH IDENTITY RESOLUTION
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DOI：
10.1080/08839511003715154
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发表时间：
2010-04
影响因子：
2.8
通讯作者：
Xin Fu;Tossapon Boongoen;Q. Shen
中科院分区：
文献类型：
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作者：
Xin Fu;Tossapon Boongoen;Q. Shen
给定一组收集的证据和预定义的知识库，一些现有的基于知识的方法能够在限制性条件下综合合理的犯罪场景。然而，当可用情报数据的精确度差异很大且通常涉及模糊和不确定的信息时，就会出现重大挑战。此外，身份消歧问题给犯罪调查带来了另一个关键障碍。也就是说，生成的犯罪场景可能经常涉及未知的指示物（例如人或某些物体），而这些看似无关的指示物实际上可能与共同揭示的内容相关。受这种观察的启发，本文提出了一个模糊组合建模器来表示、推理和传播不精确的信息，以支持犯罪场景的自动生成。此外，本文还提供了一种基于链接的方法来识别生成的场景中潜在的重复引用对象。通过发现不可预见的犯罪场景的示例说明了这项工作的适用性。
Given a set of collected evidence and a predefined knowledge base, some existing knowledge-based approaches have the capability of synthesizing plausible crime scenarios under restrictive conditions. However, significant challenges arise for problems where the degree of precision of available intelligence data can vary greatly, often involving vague and uncertain information. Also, the issue of identity disambiguation gives rise to another crucial barrier in crime investigation. That is, the generated crime scenarios may often refer to unknown referents (such as a person or certain objects), whereas these seemingly unrelated referents may actually be relevant to the common revealed. Inspired by such observation, this article presents a fuzzy compositional modeler to represent, reason, and propagate inexact information to support automated generation of crime scenarios. Further, the article offers a link-based approach to identifying potential duplicated referents within the generated scenarios. The applicability of this work is illustrated by means of an example for discovering unforseen crime scenarios.