Since the era of big data, the Internet has been flooded with all kinds of information. Browsing information through the Internet has become an integral part of people's daily life. Unlike the news data and social data in the Internet, the cross-media technology information data has different characteristics. This data has become an important basis for researchers and scholars to track the current hot spots and explore the future direction of technology development. As the volume of science and technology information data becomes richer, the traditional science and technology information retrieval system, which only supports unimodal data retrieval and uses outdated data keyword matching model, can no longer meet the daily retrieval needs of science and technology scholars. Therefore, in view of the above research background, it is of profound practical significance to study the cross-media science and technology information data retrieval system based on deep semantic features, which is in line with the development trend of domestic and international technologies.

通过研究基于深度语义特征的跨媒体科技信息数据检索系统，以适应科技学者日常检索需要的发展趋势，以及适应国内外技术的发展方向，从而有效的检索跨媒体科技信息数据，这是目前传统科技信息检索系统所无法满足的。

跨媒体科技信息数据检索研究