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
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;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885320