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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。
At present, the integration of university library resources begins with the transition from federal search to discovery system, that is through the metadata index to reveal the correlation between the literature, to provide fast one-stop search service. However, this literature-level aggregation can not meet the needs of the user based on the topic of the related information fragment aggregation, at the same time, the discovery system as the representative of the aggregation is also difficult to achieve the combined use of digital and physical collections. Therefore, attempts to enhance the virtual reality, optical character recognition and information extraction as the means to achieve these key technologies to explore a multi-media collection based on information fragments collection resources aggregation, hoping to open up new ideas for library resource aggregation.