大数据环境下的文献元数据标准设计特点分析

Analysis of Design Features of Literature Metadata Standard in Big Data Environment

在大数据环境下,数字文献资源类型、数量增多,资源组织颗粒度细化,人们对数据挖掘和知识化服务的需求日益增强。本文在分析了多家出版商和信息服务机构采用的文献元数据标准后,结合NSTL建立的统一文献元数据标准,对元数据设计特点进行了分析。发现元数据设计呈现统一性、模块化、细粒度、标识性、关联性的趋势和特点。

In big data environment, the number of digital resources has increased, and the granularity of resource organization is more refined. Peoples＇ demand for data mining and knowledge service become more urgent. This paper analyzes several literature metadata standards used by different publishers and information service institutions, especially NSTL unified literature metadata standard. Then, we find that metadata design presents unitarity, modularity, fineness, identities and relevance trends and features.