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Bringing the Digital Product Passport to Life: Requirements Analysis for a Carbon Footprint Tracking System Using Knowledge Graphs and Data Spaces

EasyChair Preprint 15940

8 pagesDate: March 25, 2025

Abstract

Inspired by the Sustainable Development Goals of the United Nations, the European Union (EU) has taken numerous regulatory measures to realize a low-emission circular economy (CE). In particular, the EU is advancing the idea of the Digital Product Passport (DPP) to promote data sharing between organizations and improve the environmental impact of products on the basis of the data. Although the exact requirements for the content of the DPP are yet to be defined, the global climate agenda suggests that across all product groups the carbon footprint will be an important part of the DPP. Due to its broad application, the DPP must not become a market entry barrier for companies or interfere with existing value chains. Technologies for the DPP must be affordable and accessible to companies, regardless of their economic and geographical focus. Recent research concurs that the usage of data spaces to manage the DPP system facilitates the secure exchange and easy linking of data. However, there is still no consensus on what information the DPP should contain. In this paper, we analyze the requirements that a DPP system must meet, discuss the role that the combination of knowledge graphs and data spaces could play, and outline their potential using the example of tracking the carbon footprint of products. The results create a basis that may considerably facilitate the future implementation of DPP systems.

Keyphrases: Data Spaces, Digital Product Passport, Knowledge Graphs, Ontology

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:15940,
  author    = {Anastasiia Belova and Artem Revenko and Viola Gallina and Daniel Bachlechner and Sulayman K. Sowe},
  title     = {Bringing the Digital Product Passport to Life: Requirements Analysis for a Carbon Footprint Tracking System Using Knowledge Graphs and Data Spaces},
  howpublished = {EasyChair Preprint 15940},
  year      = {EasyChair, 2025}}
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