Ontology-based multimode information fusion method

In order to better use with massive, heterogeneous, multimode and other characteristics of information, eliminate redundancy, the formation of the system environment is relatively complete and consistent description. It can ensure rapid and correct decision-making, planning and reflection. In this paper, a multimode information fusion method is proposed aimed at the shortcomings of hierarchical structure. Different databases and data files between different formats can be shielded, while the fuzzy neural network algorithm, make text, images and video seamless fusion by continuous learning. Experimental results show that the method of this paper is better than exist on fusion algorithms at the right rate, leakage pick up rate and false acceptance rata.