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为丰富和完善馆藏数字信息资源,提出了基于语义信息检索的馆藏数字资源优化方法。该方法利用语义信息检索技术从互联网上自动采集与之相关联的网络信息,通过相关度计算后选取相关度值满足预设阀值的网络信息进行馆藏数字资源的扩充和更新。实验结果表明,该方法取得了理想的预期效果,能够有效地优化馆藏数字资源,提升馆藏资源的检索与利用效率。
In order to enrich and improve the collection of digital information resources, a digital resource optimization method based on semantic information retrieval is proposed. The method uses the semantic information retrieval technology to automatically collect the network information associated with it from the Internet. After calculating the relevancy degree, the network information with the relevancy degree meeting the preset threshold is selected to expand and update the collection digital resources. The experimental results show that this method has achieved the desired expected results, which can effectively optimize the digital resources of collections and improve the retrieval and utilization efficiency of collections resources.