DocumentCode :
3125156
Title :
Detective DSS Based on Content Cognition Technology
Author :
Li, Kairong ; Wang, Juanni ; Gao, Weiying ; Liu, Xiaoyan
Author_Institution :
Inf. Eng. Sch., Yangzhou Univ., Yangzhou, China
fYear :
2009
fDate :
28-29 Dec. 2009
Firstpage :
249
Lastpage :
252
Abstract :
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.
Keywords :
cognition; data warehouses; decision making; decision support systems; ontologies (artificial intelligence); content cognition technology; detective decision making data warehouse model; detective decision support system; domain ontology; Cognition; Data warehouses; Decision making; Decision support systems; Information systems; Information technology; Ontologies; Solids; Technological innovation; Wireless networks; content cognition technology; detective decision support system; domain ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3901-0
Electronic_ISBN :
978-1-4244-5400-6
Type :
conf
DOI :
10.1109/WNIS.2009.22
Filename :
5381918
Link To Document :
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