Detective DSS Based on Content Cognition Technology

At present, some problems have emerged in the detection systems such as collecting incomprehensive evidence, over-reliance on the confessions and other problems. All of these problems stem from data can not be shared. To eliminate this disadvantage, this paper proposed a detective decision support s...

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Hauptverfasser: Kairong Li, Juanni Wang, Weiying Gao, Xiaoyan Liu
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:At present, some problems have emerged in the detection systems such as collecting incomprehensive evidence, over-reliance on the confessions and other problems. All of these problems stem from data can not be shared. To eliminate this disadvantage, this paper proposed a detective decision support system (DSS) based on content cognition technology. Ontology is used to describe concepts and the interrelationships in a specify field, or even in a wider range, it can make these concepts and relations have common recognized, clear and the single definitions in the sharing range. This paper summarizes the problems existed in the detection systems, then proposes ontology and discusses the method to construct the domain ontology. This paper designs a detective decision-making data warehouse model which based on ontology, and also gives an example to verify the feasibility and innovation of this approach.
DOI:10.1109/WNIS.2009.22