Modeling and generating marketplace activities with PROV-DM

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.