CAJ | 학술논문

关联数据是一种轻量级的语义网实现技术，其重要价值在于通过RDF数据模型，将网络上的非结构化数据和采用不同标准的结构化数据转换成遵循统一标准的结构化数据，以便机器理解。文章梳理了关联数据的实现方式，目前关联数据的发布模式有：静态发布、批量存储、调用时生成、事后转换（D2R），发布关联数据的工具包括：VoID词表、前端转换工具、OWL及SKOS相关工具、Web services、Web应用框架、CMS及RDFa。并详细介绍了开源CMS平台Drupal。Drupal作为一直关注语义网技术的开源CMS平台，其高度模块化的架构为实现关联数据的发布打下了良好的基础，RDF、SPARQL、SPARQL_Endpoint及其周边模块构成了一套较为成熟的关联数据发布与消费的框架，最后利用该框架实现将“中国历史纪年和公元纪年对照表”发布成关联数据。表1。图5。参考文献21。
관련수거시일충경량급적어의망실현기술，기중요개치재우통과RDF수거모형，장망락상적비결구화수거화채용불동표준적결구화수거전환성준순통일표준적결구화수거，이편궤기리해。문장소리료관련수거적실현방식，목전관련수거적발포모식유：정태발포、비량존저、조용시생성、사후전환（D2R），발포관련수거적공구포괄：VoID사표、전단전환공구、OWL급SKOS상관공구、Web services、Web응용광가、CMS급RDFa。병상세개소료개원CMS평태Drupal。Drupal작위일직관주어의망기술적개원CMS평태，기고도모괴화적가구위실현관련수거적발포타하료량호적기출，RDF、SPARQL、SPARQL_Endpoint급기주변모괴구성료일투교위성숙적관련수거발포여소비적광가，최후이용해광가실현장“중국역사기년화공원기년대조표”발포성관련수거。표1。도5。삼고문헌21。
Linked Data is a lightweight implementation of Semantic Web technology based on RDF data model. With Linked Data, the unstructured data on the web can be transferred to structured data for machine understanding. Common examples of publishing models include static publishing, bulk storage, Real-time generation, and post-conversion （D2R）. Most often used tools to publish linked data are VoID vocabulary, front-end conversion tool, OWL and SKOS tools, Web services, Web application framework, CMS and RDFa. Drupal, a popular open-source Content Management System, is also one of the tools with highly modular architecture most critical to Linked Data implementation. The main modules such as RDF, SPARQL, SPARQL_Endpoint and other surrounding modules compose the architecture of publishing and consuming Linked Data. Finally, building on the architecture of Drupal, ＂Chronological tables of Chinese history and the corresponding western calendar＂ was published into Linked Data. 1 tab. 5 figs. 21 refs.