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采用定量统计方法,对Linked Open Data(LOD)中关联数据集的现状进行分析,认为现有的关联数据存在一定的问题,需要进一步绿色化。在界定绿色关联数据概念的基础上,将其要求分为内在质量、数据描述、数据关联、数据访问、数据生存5种类型,并描述每种类型所包含的具体要求。提出用工程化方法来生产和维护绿色关联数据,涉及数据需求分析、数据设计、数据测试、数据维护和数据工程管理等关键步骤。认为可建立数据更新通知机制和数据评价机制来进一步提高关联数据的绿化水平。
Based on the quantitative statistical method, the current status of Linked Data in Linked Open Data (LOD) is analyzed, and it is considered that there are some problems in the existing related data and need to be further green. On the basis of defining the concept of green relational data, the requirements are divided into five types: intrinsic quality, data description, data association, data access and data survival, and describe the specific requirements of each type. It is proposed to use engineering method to produce and maintain green related data, which involves the key steps of data requirement analysis, data design, data testing, data maintenance and data project management. It is considered that a data update notification mechanism and a data evaluation mechanism can be established to further improve the afforestation level of related data.