论文标题
跨媒体科学和技术信息数据检索的研究
Research on Cross-media Science and Technology Information Data Retrieval
论文作者
论文摘要
自大数据时代以来，互联网就充斥着各种信息。通过互联网浏览信息已成为人们日常生活中不可或缺的一部分。与互联网中的新闻数据和社交数据不同，跨媒体技术信息数据具有不同的特征。这些数据已成为研究人员和学者跟踪当前热点并探索技术发展的未来方向的重要基础。随着科学和技术信息数据的数量变得更加丰富，传统的科学和技术信息检索系统仅支持单峰数据检索并使用过时的数据关键字匹配模型，无法再满足科学和技术学者的日常检索需求。因此，鉴于上述研究背景，研究基于深层语义特征的跨媒体科学和技术信息数据检索系统具有深刻的实际意义，这与国内和国际技术的发展趋势一致。
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traditional science and technology information retrieval system, which only supports unimodal data retrieval and uses outdated data keyword matching model, can no longer meet the daily retrieval needs of science and technology scholars.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.
