摘要
【目的/意义】大数据背景下,优良的多媒体信息检索系统是提升数字图书馆交互性,促使其知识服务升级的关键。【方法/过程】调研主流数字图书馆的多媒体信息检索系统,发现主要存在"未充分利用跨模态相关性"、"未有效组织多媒体资源"等问题。从"跨模态相关性分析"、"层次化知识推理"等方面提出优化方案并实证分析。【结果/结论】系统检索性能提升,这表明:运用深度学习、知识表示学习等理论优化多媒体信息检索系统,可更好地满足用户知识需求,进而提升数字图书馆知识服务质量。
【Purpose/significance】Under the big data environment, a better multi-media information retrieval system is one of the core aspects for promoting digital libraries’ interactivities and impelling the transformation of its knowledge services.【Method/process】After investigating several famous digital libraries, it finds out two key problems still remain in the traditional multi-media retrieval system. The first is'the useful cross-modal semantic information wasn’t applied in the retriev-al procedure'. The second is'the multi-media resources in digital library weren’t organized and managed systematically'.To resolve the problems and improve retrieval performance in some extent, it proposes several novel ideas for optimizing thetraditional multi-media information retrieval system:'cross-modal correlation analysis','hierarchical knowledge reasoning', et al. Detailed empirical analysis is done to verify the presented novel ideas.【Result/conclusion】Retrieval performances are improved apparently. It means that several modern technologies such as deep learning and knowledge represen-tation learning actually contribute to optimize the traditional multi-media information retrieval system of digital library.More importantly, it can better satisfy users’ knowledge demands and improve the knowledge service quality of digital library.
作者
李广丽
朱涛
刘斌
殷依
邱蝶蝶
张红斌
LI Guang-li;ZHU Tao;LIU Bing;YIN Yi;QIU Die-die;ZHANG Hong-bin(School of Information Engineering,East China Jiaotong University,Nanchang 330013,China;School of Software,East China Jiaotong University,Nanchang 330013,China;School of Computer Science,Wuhan University,Wuhan 430072,China)
出处
《情报科学》
CSSCI
北大核心
2019年第2期115-119,共5页
Information Science
基金
教育部人文社会科学研究规划基金项目"基于深度学习与知识发现的多媒体信息检索模型研究"(16YJAZH029)
"基于相对属性与多模态分布式语义的用户兴趣追踪模型研究"(17YJAZH117)
国家自然科学基金"基于稀疏二分图与多模态分布式语义的图像句子标注关键技术研究"(61762038)
"基于深层病理语义分析与跨媒体关联图的肿瘤图像诊断模型研究"(61741108)
江西省社会科学规划项目"基于用户兴趣追踪与深度知识挖掘的数字图书馆创新服务研究"(16TQ02)
关键词
大数据
数字图书馆
多媒体信息检索
深度学习
跨模态相关性
知识表示学习
big data
digital library
multi-media information retrieval
deep learning
cross-modal correlation
knowledge reasoning
