基于关联数据的知识组织深度序化机制研究

Research on In-Depth Ordering Mechanism of Knowledge Organization Based on Linked Data

[目的 /意义]从关联数据在知识组织与控制中的应用为切入点,进一步揭示基于关联数据的知识组织深度序化机制,促进关联数据技术在知识组织、知识发现领域的应用。[方法/过程]通过系统分析法提出"三位一体"的语义组织框架,分析基于关联数据的知识组织语义序化机制,并以机构知识库关联数据的构建发布为例说明语义序化机制具体实现路径。[结果 /结论]本体与关联数据驱动的语义检索服务体现了基于关联数据的知识组织深度序化机制。研究表明,关联数据作为轻量级的语义网实现方式,为知识组织的深度序化提供了语义化的技术、方法、工具和实现路径,为知识发现、知识推理提供了基础。

[ Purpose/significance ] From the perspective of linked data in the application of knowledge organization and control, this paper further reveals the in - depth ordering mechanism of knowledge organization based on linked data, and promotes the linked data technology in the application of knowledge organization and discovery. [ Method/process ] With the systematical analysis method, this paper puts forward a semantic organization framework of ＂Trinity＂, and makes an analysis on semantic ordering mechanism of knowledge organization based on linked data. At last, by taking construc- ting and publishing linked data of institutional repository for example, it illustrates the specific realization path for the se- mantic ordering mechanism. [ Result/conclusion] Semantic retrieval services driven by ontology and linked data reflect the in - depth ordering mechanism of knowledge organization based on linked data. The results show that linked data as an implementation way of lightweight semantic web, provides the semantic technology, method, tool and realization path for in - depth - order of knowledge organization, and the basis for knowledge discovery and inference.