语义网络环境下数字图书馆资源多维度聚合与可视化研究

项目名称： 语义网络环境下数字图书馆资源多维度聚合与可视化研究

项目编号： No.71273111

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 管理科学

项目作者： 毕强

作者单位： 吉林大学

项目金额： 56万元

中文摘要： 在开放的语义网络环境下，数字图书馆资源多维度聚合既是开发利用数字图书馆资源的现实需求，也是提升数字图书馆知识服务能力与水平所需认真研究并必须解决的关键问题。近年来的相关研究主要围绕着馆藏资源的数字化建设，其成果虽然极大地促进了数字图书馆的现实推进，然而由于在数字图书馆资源基于语义的组织和深度聚合方面始终未能求得理想的解决方案，尽管用户身处数字图书馆"信息海洋"，却面临"知识匮乏"的困境。鉴于此，本项目从语义网技术为数字图书馆资源的语义化提供了新的机遇和挑战的视角，研究多维度聚合与可视化呈现的解决方案，主要研究内容包括 ：①提出"资源本体"的新内涵，构建包括领域本体、资源本体和管理本体的语义体系；②构建语义知识库，实现管理本体的管理功能；③建立社会网络图谱到领域本体的多维映射关系；④构建基于语义的数字图书馆资源多维度聚合模型；⑤构建多维度聚合的可视化导航平台的原型系统，并进行实证研究。

中文关键词： 语义网络；数字图书馆资源多维度聚合；知识关联发现；深度语义揭示；可视化展示

英文摘要： In an open semantic web environment, the multidimensional polymerization of digital library resources is not only the real demand for developing and using digital library resources, but also the key issues which should be seriously studied and solved for promoting the knowledge service ability and standard of digital library resources. In recent years the relevant researches mainly surrounded the digitization construction about library collection resources. These achievements greatly promoted the development process of digital library, but still failed to achieve the ideal solution for the digital library resource organization and depth polymerization based on semantics. All of this result in more serious consequences that although users are in the "information ocean" of digital library, but facing a dilemma of "lacking of knowledge". In view of this, the project will do a deep research on the solution of multidimensional polymerization and its visual display from a new perspective that Semantic Web technologies provides new opportunities and challenges for the semantization of digital library resource. The main research contents can be list as follows: ①the new connotation of "Resource Ontology" is proposed, and an architecture which includes Domain Ontology, Resource Ontology and Management Ontology is constru

英文关键词： Semantic network；Multi-dimensional aggregation of digital library r；knowledge association discovery；Deep semantic reveal；Visual display