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