CAJ | 학술논문

文章简要分析知识组织体系与关联数据的区别与联系，介绍了可在不同层次进行语义关联描述的本体模型和专业叙词表。面向科研创新信息需求，应用通用本体和农业科学叙词表等知识组织体系，建立了覆盖知识组织体系、科技文献和科学数据等多类资源的多维语义关联描述框架，实现了从资源的外部属性特征到内容层面的规范描述与语义关联。最后，以农业领域的信息资源为例，基于开源工具D2R，完成了关系型数据库中多类资源向多维语义关联数据的语义映射、自动转化与关联构建。
문장간요분석지식조직체계여관련수거적구별여련계，개소료가재불동층차진행어의관련묘술적본체모형화전업서사표。면향과연창신신식수구，응용통용본체화농업과학서사표등지식조직체계，건립료복개지식조직체계、과기문헌화과학수거등다류자원적다유어의관련묘술광가，실현료종자원적외부속성특정도내용층면적규범묘술여어의관련。최후，이농업영역적신식자원위례，기우개원공구D2R，완성료관계형수거고중다류자원향다유어의관련수거적어의영사、자동전화여관련구건。
This paper analyzes the difference and relation between knowledge organization system (KOS) and linked data, and also gives brief introduction about some wel-known ontologies and thesauri. A multidimensional semantic linking framework covering KOS, literature and scientific data is designed based on some widely used ontologies and thesauri, to formal y describing and semantical y linking several types of resources both from outside properties and inside contents. Final y, some agricultural sample data in relational database is semantical y mapped and automatical y converted and linked as linked data based on the open source tool D2R.