复杂信息环境下，情报数据更多源，结构更复杂，规模更庞大，如何从多源数据中及时甄别出有情报价值的信息是当前亟待解决的问题。文章深入分析了复杂信息环境给多源数据情报价值发现提出的新要求。在此基础上，提出了多源数据情报价值发现模型。首先，构建动态的多源数据空间；其次，从多源数据外部基础特征、内容语义特征以及用户情报需求特征3个维度分别提出了情报价值发现的设计方案。复杂信息环境下，多源数据的情报价值发现需要快速感知、细粒度挖掘、精细化研判和智能化分析。需要时刻关注用户的情报需求，并结合深度学习等技术实现多源数据情报价值发现的高效化、精准化和智能化发展。

In the complex information environment, intelligence data has more sources, more complex structure and larger scale. How to identify information with intelligence value from multi-source data in time is an urgent problem to be solved. This paper deeply analyzes the new requirements of multi-source data intelligence value discovery in complex information environment. On this basis, a multi-source data information value discovery model is proposed. Firstly, a dynamic multi-source data space is constructed. Secondly, a design scheme of information value discovery is proposed from three dimensions: external basic characteristics of multi-source data, content semantic characteristics and user information demand characteristics. In complex information environment, the intelligence value discovery of multi-source data needs fast perception, fine-grained mining, fine judgment and intelligent analysis. It is necessary to always pay attention to the intelligence needs of users, and combine deep learning and other technologies to achieve the efficient, accurate and intelligent development of multi-source data intelligence value discovery.