Data Modeling for Connected Data - SLR

A systematic literature review (SLR) was carried out to identify the known approaches for data modeling of connected data. The main contribution of this SLR is an analysis of sixteen works, from 2013 to 2020, in terms of three dimensions: type of contribution, bibliometrics, and data modeling characteristics. Some parameters of the review and results from data collection were converted into files. The entire set of works retrieved from DL is also available to allow reproductibility.本研究开展了系统文献综述（Systematic Literature Review, SLR），以识别关联数据的数据建模领域的现有方法。本次SLR的核心贡献在于从三大维度对2013至2020年间的16项相关研究展开分析，即贡献类型、文献计量学特征以及数据建模特性。本次综述的部分参数及数据收集所得结果均已导出为文件。从DL检索得到的全部文献集合也已公开，以保障研究的可复现性。