深入分析网络空间中跨媒体数据特点及其应用需求,提出一种新的深度认知神经网络方法框架.在此基础上构建基于深度认知神经网络的跨媒体信息处理框架,并归纳总结其中涉及的关键技术,提出解决方案.实现网络空间中跨媒体情报大数据的综合、归纳和过滤,辅助从海量数据中搜索发现有价值的情报信息,进而提供"从数据到决策"的各种智能信息服务.
This paper analyzes the characteristics of cross-media data in network space and its application requirement, and proposes a new framework of deep cognition neural networks. Then it constructs a framework of cross-media information processing based on deep cognition neural networks, summarizes related key technologies and proposes solutions. This paper aims to realize the synthesizing,summarizing and filtering of cross-media intelligence big data, and assist in discovering and searching valuable intelligence information,and further, providing various intelligent information services from data to decision-making.