DocumentCode
3025156
Title
Situation awareness method based on ontology and evidence theory
Author
Yongwei Wang ; Yunan Liu ; Rongcai Zhao ; Wei Qiu ; Cheng Si
Author_Institution
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
1622
Lastpage
1626
Abstract
The fusion and reasoning of multi-source heterogeneous information is important and difficult in the research of situational awareness. In this paper, the advantages of ontology in certainty reasoning and the advantages of evidence theory in uncertainty reasoning are combined, situation model and reasoning decision algorithm based on ontology and evidence theory is proposed. The model effectively integrates the theory of evidence and ontology, and results that the situational awareness model has strong adaptability. Experimental results show that the proposed method can be easily used in the situation ontology modeling of multi-source heterogeneous information, and effectively improve the accuracy of the inference results.
Keywords
inference mechanisms; ontologies (artificial intelligence); uncertainty handling; evidence theory; multisource heterogeneous information; reasoning decision algorithm; situation awareness method; situation ontology modeling; uncertainty reasoning; Accuracy; Adaptation models; Bayes methods; Cognition; Ontologies; Security; Uncertainty; evidence theory; ontology; reasoning; situation awareness;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885320
Filename
6885320
Link To Document