摘要
针对复杂战场环境对信息关联的需求,对多源异构战场信息关联挖掘技术展开研究,提出了面向时空、实体、任务、语义四种关联信息挖掘方法,实现战场信息在多个维度上的关联,使其更好的满足复杂化、多样化的战场信息感知需要。
On demand for the information association of the complex battlefield environment, this paper conducts a research on multi-source heterogeneous battlefield information association mining technology. Four information association mining technologies are proposed, such as time-space oriented, entity oriented, task- oriented, and semantic-oriented, which can associate battlefield information from different dimensions. As a result, complex and diversified battlefield information sensing demand can be better satisfied.
出处
《国防科技》
2017年第4期35-41,共7页
National Defense Technology
关键词
多源战场信息
关联挖掘
时空关联
实体关联
任务关联
跨模态异构信息关联
multi-source battlefield information
information association mining
time-space association
entity association
task association
multi-format heterogeneous information association
