摘要
为实现数字图书馆馆藏资源内容本身的多粒度关联数据的创建与发布,本文提出一种多粒度关联数据创建与发布方法。该方法首先依据主题对数字图书馆数字资源进行多粒度层级分割;而后在此基础上基于领域本体对文档分割结果进行多粒度层级语义标注,生成描述数字资源语义结构的多粒度层级语义模式;最后,基于该语义模式借助D2R最终实现数字图书馆多粒度关联数据创建与发布,为提供"检索即所得"的一站式集成知识服务奠定基础。
To realize the creation and publication of muti-granularity linked data for the digital library resources, this paper proposed a method on the creating and publishing of muhi-granularity linked data. First this method segments each document into a multi-granularity hierarchical structure based on topics; then, to obtain the semantic model this method further carries out semantic annotation on the results of muhi-granularity hierarchical segmentation; at last, this method based on the semantic model ultimately realizes the creation and publication of muti-granularity linked data for the digital library resources by using the D2R, which lays a solid foundation for providing the integrated knowledge service.
出处
《情报学报》
CSSCI
北大核心
2016年第8期885-896,共12页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金项目"基于关联数据的数字图书馆多粒度集成知识服务研究"(批准号:14CTQ003)
关键词
数字图书馆
多粒度
关联数据
文本分割
语义标注
digital library, multi-granularity, linked data, text segmentation, semantic annotation