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
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。
Abstract: 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.
文章引用：周力, 鲁仕雪. 电商平台服装商品属性描述元数据建模及实证研究[J]. 电子商务评论, 2020, 9(1): 1-9. https://doi.org/10.12677/ECL.2020.91001

参考文献

[1] Ghani, R., Probst, K., et al. (2005) Text Mining for Product Attribute Extraction. SIGKDD Explorations, 8, 41-48.
[Google Scholar] [CrossRef] 
[2] Popescu, A.M. and Etzioni, O. (2005) Extracting Product Features and Opinions from Reviews. Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, October 2005, 339-346.
[Google Scholar] [CrossRef] 
[3] Park, E.J., Kim, E.Y., et al. (2011) Apparel Product Attributes, Web Browsing, and e-Impulse Buying on Shopping Websites. Journal of Business Research, 65, 1583-1589.
[4] Chantilly, R.K.S. (2015) UMLS Semantic Network as a UML Meta-Model for Improving Biomedical Ontology and Application Modeling. International Journal of Healthcare Information Systems and Informatics, 10, 34-56.
[Google Scholar] [CrossRef] 
[5] Yang, B., Qiao, L.H., Cai, N., et al. (2018) Manufacturing Process Information Modeling Using a Meta-Modeling Approach. The International Journal of Advanced Manufac-turing Technology, 94, 1579-1596.
[Google Scholar] [CrossRef] 
[6] Yu, L., Wang, S.Y. and Lai, K.K. (2009) A Neur-al-Network-Based Nonlinear Metamodeling Approach to Financial Time Series Forecasting. Applied Soft Computing, 9, 563-574.
[Google Scholar] [CrossRef] 
[7] Alanen, M. and Porres, I. (2008) A Metamodeling Language Supporting Subset and Union Properties. Software and System Modeling, 7, 103-124.
[Google Scholar] [CrossRef] 
[8] Qin, S.J., Cai, H.M. and Jiang, L.H. (2012) A Product Life Cycle Data Management Framework Based on Resource Meta-Modeling. IEEE Asia-Pacific Services Computing Conference, Guilin, 6-8 December 2012, 305-308.
[9] Boucher, X. and Medini, K. (2016) Towards a Generic Meta-Model for PSS Scenarios Modelling and Analysis. Procedia CIRP, 44, 234-239.
[Google Scholar] [CrossRef] 
[10] Tao, J. and Yu, S.R. (2018) A Meta-Model Based Approach for LCA-Oriented Product Data Management. 25th CIRP Life Cycle Engineering Conference, Copenhagen, 30 April-2 May 2018, 423-428.
[Google Scholar] [CrossRef] 
[11] Carreras, J., Pozo, C., Boer, D., et al. (2016) Systematic Ap-proach for the Life Cycle Multi-Objective Optimization of Buildings Combining Objective Reduction and Surrogate Modeling. Energy and Buildings, 130, 506-518.
[Google Scholar] [CrossRef] 
[12] Tarazona, G.M., Pelayo, B.C., Sanjuán, O., et al. (2014) e-Commerce Metamodel Based on MDA. IEEE Latin America Transactions, 12, 699-705.
[Google Scholar] [CrossRef] 
[13] Huang, S.-M., Hua, J.-S., Will, H., et al. (2012) Metamodeling to Control and Audit E-Commerce Web Applications. International Journal of Electronic Commerce, 17, 83-118.
[Google Scholar] [CrossRef] 
[14] Figueiredo Adriana Maria, C.M. and Aqueo, K. (2004) Using Metamodels to Promote Data Integration in an e-Government Application Scenario. IFIP Advances in Information and Communication Technology, 139, 293-303.
[Google Scholar] [CrossRef] 
[15] 张芳, 史殿习, 罗端红. 元建模在电子商务开发平台中的研究与应用[J]. 计算机应用研究, 2005, 22(9): 191-193, 213.
[16] 刘家红, 吴泉源. Web应用开发平台的元建模研究[J]. 计算机工程与科学, 2006, 28(3): 88-91.
[17] 王军, 周妍. 电商平台的分面元数据研究[J]. 情报杂志, 2016, 35(3): 317-325.
[18] 周妍, 王军. 电商平台商品信息组织机制研究[J]. 图书馆建设, 2016(6): 21-26.
[19] 中国国家标准化管理委员会. GB/T 32670. 电子商务交易产品描述(服装)[S]. 北京: 中国标准出版社, 2016.
[20] 中国国家标准化管理委员会. GB/T 37600.13. 全国主要产品分类-产品类别核心元数据[S]. 北京: 中国标准出版社, 2018.
[21] Lee, H., Shin, S. and Kim, S. (2010) Surrogate Internet Shopping Malls: The Effects of Consumers Per-ceived Risk and Product Evaluations on Country-of-Buying-Origin Image. Journal of Global Academy of Marketing Science, 20, 208-218.
[Google Scholar] [CrossRef] 
[22] Hong, H. and Lee, S.G. (2005) Ef-fects of Apparel Merchandise on Experienced Emotion for Apparel Shopping and Attitude toward the Internet Store. Korean Society of Clothing and Textiles, 29, 478-490.

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