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dc.contributor.author Fu, Xin
dc.contributor.author Shen, Qiang
dc.contributor.author Boongoen, Tossapon
dc.date.accessioned 2010-04-22T11:52:48Z
dc.date.available 2010-04-22T11:52:48Z
dc.date.issued 2010-04-12
dc.identifier.citation Fu , X , Shen , Q & Boongoen , T 2010 , ' Evidence directed generation of plausible crime scenarios with identity resolution ' Applied Artificial Intelligence , vol 24 , no. 4 , pp. 253-276 . , 10.1080/08839511003715154 en
dc.identifier.issn 1087-6545
dc.identifier.other PURE: 149318
dc.identifier.other dspace: 2160/4587
dc.identifier.uri http://hdl.handle.net/2160/4587
dc.description Xin Fu, Tossapon Boongoen, Qiang Shen: Evidence Directed Generation of Plausible Crime Scenarios with Identity Resolution. Applied Artificial Intelligence 24(4):253-276, 2010. en
dc.description.abstract 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 var y greatly, often involving vague and uncertain infor mation. 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 obser vation, this article presents a fuzzy compositional modeler to represent, reason, and propagate inexact infor mation to support automated generation of crime scenarios. Further, the article of fers 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. en
dc.format.extent 24 en
dc.language.iso eng
dc.relation.ispartof Applied Artificial Intelligence en
dc.title Evidence directed generation of plausible crime scenarios with identity resolution en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1080/08839511003715154
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


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