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traditional science and technology information retrieval system, which only supports unimodal data retrieval and uses outdated data keyword matching model, can no longer meet the daily retrieval needs of science and technology scholars.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.

翻译：自大数据时代以来,因特网就充斥着各种信息。通过因特网浏览信息已成为人们日常生活的一个组成部分。与互联网上的新闻数据和社会数据不同,跨媒体技术信息数据具有不同的特点。这些数据已成为研究人员和学者跟踪当前热点和探索技术发展未来方向的重要基础。随着科技信息数据量的增多,传统的科技信息检索系统只能支持单式数据检索和使用过时的数据关键词匹配模式,无法满足科技学者的日常检索需求。因此,鉴于上述研究背景,根据与国内和国际技术发展趋势相一致的深层语义特征研究跨媒体科学和技术信息检索系统具有深远的实际意义。