基于关联数据的集成信息平台语义化实现方法研究

首先,针对关联数据的国内外发展现状和相关技术进展进行研究,并且调研了目前主要的关联数据集,并深入研究了DBPedia数据集、DBLP数据集和CORDIS数据集。接着基于中国科学院集成信息平台CASIIP,同时结合中国科学院研究所群组集成知识平台项目一期、二期的建设情况,充分分析平台语义化扩展方面的需求和可行性,并且在关联数据的基础上提出了CASIIP语义化的扩展解决方案。最后在CASIIP的内容管理组件、搜索组件和综合资源管理组件中利用DBPedia的lookup和Spotlight分别实现了组件语义化扩展。实验证明,该方法合理可行,为CASIIP实现从基础内容发布建站平台软件到语义化集成资源的平台软件发展奠定了基础。

Research on the Implementation Method of the Semantic Expansion of IIP Based on Linked Data

First, according to the related data at home and abroad development status and technical progress of research and investigation of the current major linked data sets, and in-depth study of the DBPedia data sets, the DBLP data set and CORDIS data set.Then based on the Chinese Academy of Sciences integrated information platform CASIIP, combined with China Academy of Sciences Institute of group knowledge integration platform project phase, phase II construction, a full analysis of semantic platform extended the demand and feasibility of, and in the data association based on the proposed solution CASIIP semantic expansion.Finally in the CASIIP content management module, search components and integrated resource management components using DBPedia the lookup and spotlight respectively, to achieve the assembly semantic expansion.Experiments showed that the method was reasonable and feasible.CASIIP implementation from the foundation content release station platform software to the semantic resource integration platform software development laid the foundation.