A Material Passport Ontology for a circular economy

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Authors: Md Hanif Seddiqui, Feroz Farazi, Fausto Giunchiglia, Mayukh Bagchi, Simone Bocca, Jethro Akroyd, Sebastian Mosbach, Farhadur Arifin, Rasel Ahmed, Miah Raihan Mahmud Arman, Laura Di Cesare, Andrea Pipino
+8 more Ural Halaçoğlu, Zeynep Korkmaz, Tanvir Islam, Kasparas Kižys, Donatas Gendvilas, Aydogan Berkay, Sema Yildiz, Markus Kraft
Cited by: 2
References: 26

Abstract

The purpose of this paper is to introduce a Material Passport Ontology (MPO), which is designed to enable the interoperability of material passport data across stakeholders, including manufacturers, suppliers, collectors, and recyclers. The MPO provides a novel unifying ontological infrastructure for representing the properties of products and recycling processes. These properties are essential for estimating the potential recycled yield and enabling the stakeholders to make informed decisions about the feasibility of recycling. The ontology was co-created with industrial stakeholders, following a pragmatic ontology development method. The MPO is organised into facets describing the physical properties, composition and circularity, biological and other properties of products, components and materials. A set of constraints was developed to address the non-conformant syntactic or value range inconsistencies identified by the industrial stakeholders. These inconsistencies occurred in properties such as international product identification numbers and mass-related properties represented in a material passport knowledge graph. The information provided by the knowledge graph enables the assessment of the circularity of products, components and materials. The MPO was validated using reasoning tools and in collaboration with domain experts from industrial partners representing two use cases: the manufacture of components for motor vehicles and blades for wind turbines. These use cases demonstrate its effectiveness and applicability in identifying recyclable materials, maximising resource reuse, and enhancing sustainability practices, thereby facilitating the transition to a circular economy.

Fields of Study & Subjects

Sustainable Supply Chain Management Sustainable Industrial Ecology Modular Robots and Swarm Intelligence

Publication details

Journal / source
Computers in Industry
Publisher
Elsevier BV
Volume
178
Pages
104465–104465
Publication date
11 March 2026
Language
EN