Dublin Core-Based Metadata Extracting Algorithm from RDF-Based Information Elements

Hongbin Wang, Daxin Liu, Wei Sun
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引用次数: 1

Abstract

The semantic Web and semantic Web technologies offer us a new approach to managing information and processes, the fundamental principle of which is the creation and use of semantic metadata. A Dublin core-based metadata extracting algorithm from RDF-based information elements is proposed in this paper. The rule library is designed in the paper after introducing the semantic rules. The system named IDPMS (integration design platform management system) based on the above-mentioned algorithm is developed, which can perform automatic Dublin core-based metadata extracting algorithm from information elements which is described by RDF documents. The Dublin core-based metadata extracting algorithm from RDF-based information elements is described in this paper. The experiment is analyzed in the end.
基于都柏林核的rdf信息元数据提取算法
语义网和语义网技术为我们提供了一种管理信息和流程的新方法,其基本原理是创建和使用语义元数据。提出了一种基于都柏林核的基于rdf的元数据提取算法。在引入语义规则的基础上,设计了规则库。在此基础上开发了集成设计平台管理系统IDPMS (integrated design platform management system),该系统能够对RDF文档描述的信息元素进行基于都柏林核的元数据自动提取算法。本文描述了一种基于都柏林核的基于rdf的元数据提取算法。最后对实验结果进行了分析。
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