Modeling and generating marketplace activities with PROV-DM

B. V. Batlajery
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引用次数: 1

Abstract

A movement to support sustainability in fashion has emerged as a result of the damaging environment. We address this problem by providing sustainability-related information of the fashion product as transparent as possible, for individuals to perform better judgemental decision about the product. We propose the use of the PROV family in the modelling processes of users in purchasing a product and generating provenance activities of such behaviour. Ultimately, this will generate the lineage of a product and how it is treated.In this paper, we discuss the use of PROV family in modeling and generating the provenance records of purchasing activities. We demonstrate our work by presenting a real use case of an online fashion marketplace situated in Exeter, UK. The marketplace is set to allow its users exchanging (through buying and selling activities) their personal fashion products, with a goal to reduce the overall products waste. Hence, our contributions are an introduction of sustainable use case with provenance and investigation of the potential provenance related issues through modeling and generating the dynamic processes in the online marketplace.
利用provo - dm建模和生成市场活动
由于环境的破坏,一场支持时尚可持续性的运动应运而生。我们通过尽可能透明地提供时尚产品的可持续性相关信息来解决这个问题,以便个人对产品做出更好的判断决策。我们建议在用户购买产品的建模过程中使用PROV族,并生成此类行为的来源活动。最终,这将产生一个产品的血统和如何对待它。在本文中,我们讨论了使用PROV族建模和生成采购活动的来源记录。我们通过展示位于英国埃克塞特的在线时尚市场的真实用例来展示我们的工作。该市场允许其用户交换(通过买卖活动)他们的个人时尚产品,目的是减少产品的整体浪费。因此,我们的贡献是通过建模和生成在线市场中的动态过程,引入具有来源和调查潜在来源相关问题的可持续用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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