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将馆藏数字资源进行收集、语义描述、语义分析、语义标注,发现隐藏在馆藏资源深层的潜在知识,形成资源语义关联的有效组织和表达,然后将关联资源进行可视化展示,实现馆藏数字资源既能在有限可视化空间内提供海量馆藏资源关联结果的有效表达,又能根据资源之间的语义关联进行深入分析,进而为读者提供更加精确的资源导航和更为快速的资源定位。它在为馆藏资源传播提供新途径的同时,能寻求更为科学的满足读者需求的资源语义关联可视化模式,最终达到馆藏数字资源语义关联可视化从理论到实践的质的突破。
The collected digital resources are collected, semantic description, semantic analysis and semantic annotation, and the latent knowledge hidden in the deep layer of the collection resources is found to form an effective organization and expression of the semantic association of the resources. Then the related resources are visualized and displayed, In the limited visualization space, we can provide the effective expression of the association results of the mass collections, and further analyze according to the semantic association between the resources, so as to provide readers with more accurate resource navigation and more rapid resource positioning. It not only provides a new way for the collection of resources, but also can seek a more scientific visualization model of resource semantic relevance to meet the needs of readers. Finally, it achieves a qualitative breakthrough from theory to practice in the visualization of semantic association of collections of digital resources.