【摘要】 当前,高校图书馆资源整合开始从联邦检索过渡到发现系统,即通过元数据索引来揭示文献之间的关联,提供快捷的一站式检索服务。然而,这种文献层面的聚合无法满足用户基于目标主题的关联信息片段聚合的需求,同时,以发现系统为代表的聚合也很难实现数字与实体馆藏的合并使用。因而,尝试以增强虚拟现实、光学字符识别及信息抽取这些关键技术为实现手段,探索一种基于信息片段的多介质馆藏资源聚合方式,希望能给图书馆的资源聚合开辟新的思路。更多还原

【Abstract】 At present, the resource integration system of university libraries has changed from federated searching to resource discovery which uses metadata indexes to reveal the links among the documents,and provides quick one-stop packages. The liberature level aggregation, however, can’t satisfy the users’ needs of linked information fragment aggregation based on target topics, meanwhile, it is difficult for the aggregation represented by resource discovery to realize the combination of digital and physical collections. So the paper tries to use the key technologies such as virtual reality and augmented reality, optical character recognition and information extraction to explore a kind of multimedia collection resource aggregation method based on information fragment, aiming at a nwe idea for library resource aggregation.更多还原