电商平台服装商品属性描述元数据建模及实证研究  

Metadata Modeling and Empirical Research on the Description of Clothing Commodity Attributes in E-Commerce Platform

作　　者：周力[1] 鲁仕雪 

机构地区：[1]东华大学旭日工商管理学院,上海

出　　处：《电子商务评论》2020年第1期1-9,共9页E-Commerce Letters

摘　　要：在电商平台进行商品管理时,通常运用一系列属性来描述SKU,典型属性特征能够很好地区分每个商品。服装商品属性种类繁多,各属性类别下的元数据表现体量也非常大,且有较强的时变性。而对服装商品属性描述缺乏完善的元数据支持,常常出现商品属性描述不完整、可理解性差等问题。论文以服装商品为例,借鉴OMG提出的元建模模型驱动架构(MDA),通过统一建模语言(UML)进行服装商品属性描述元数据建模。并将此建模方法应用于某电商平台女士衬衫商品属性数据的实证研究。构建的模型易于扩展、复用,为电商平台进行商品属性数据管理提供理论支撑。When conducting merchandise management on an e-commerce platform, a series of attributes are often used to describe the SKU. Typical attribute characteristics can distinguish each item well. There are many kinds of clothing product attributes, and the metadata under each attribute cate-gory is also very large and has a strong time-varying. However, attribute management for de-scribing clothing goods lacks perfect metadata support, and problems such as incomplete product description and poor comprehensibility often appear. The paper takes the clothing products as an example, drawing on the Model Driven Architecture (MDA) proposed by OMG, building a metadata model for clothing products attribute management through Unified Modeling Language (UML). And this model is applied to the empirical study of the blouse commodity attribute data on an e-commerce platform. The constructed model is easy to expand and reuse, and provides theoretical support for e-commerce platform for commodity attribute data management.

关 键 词：服装商品 属性描述 元数据模型 实证研究 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]