WG
W.F. Goedkoop
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The textile industry is widely recognized as one of the largest contributors to global waste and carbon emissions, highlighting an urgent need for more sustainable practices. A key strategy to address these challenges lies in the adoption of circular economy principles, which aim to extend the lifecycle of materials, maximize resource efficiency, and minimize waste. However, a significant barrier to achieving circularity in the textile sector is the lack of structured, accessible, and standardized data across the supply chain. Information regarding material composition, usage, and end-of-life options is often fragmented, inconsistent, or unavailable, limiting effective recycling, reuse, and decision-making processes.
This research addresses this gap by exploring how structured data can support circularity in the textile industry through the development of a prototype ontology. The study is guided by the central research question: “How can we structure a prototype textile ontology that leverages the FEDeRATED project to maximize its contribution to providing insights into circular data?” To answer this question, a Design Science Research (DSR) methodology is employed, enabling the iterative design, development, and evaluation of a practical artefact.
The research begins with a comprehensive literature review to identify existing challenges and opportunities related to circularity, digitalization, and data management in the textile sector. Particular attention is given to the role of ontologies, the Semantic Web, and digital twins in enabling data integration, interoperability, and enhanced decision-making. The FEDeRATED project, which focuses on improving logistics through standardized data sharing, provides a foundational framework for aligning the ontology with broader industry objectives.
The ontology development follows a structured approach, starting with stakeholder analysis and the formulation of competency questions that define its scope and purpose. A middle-out strategy is adopted to construct the class hierarchy, balancing detail and usability. The scope is specifically focused on textile sorters, as they play a critical role in determining the fate of textile materials within the circular system. By providing structured and actionable data, the ontology aims to support sorters in making more informed and sustainable decisions regarding reuse, recycling, and disposal.
The constructed ontology is evaluated through both technical validation and preliminary testing. Tools such as the HermiT reasoner and the Ontology Pitfall Scanner (OOPS!) are used to ensure logical consistency, completeness, and clarity. Validation with mock-up data demonstrates that the ontology effectively captures key elements of textile products and satisfies the defined competency questions. However, certain limitations remain, including the lack of validation by industry experts and the absence of real-world implementation.
Despite these limitations, the research demonstrates that a well-structured ontology can significantly enhance data transparency, interoperability, and decision-making within the textile industry. The study contributes both practically and academically by offering a scalable framework for organizing textile data and supporting circular economy practices. Ultimately, the proposed ontology has the potential to facilitate more sustainable resource management, improve recycling efficiency, and support the transition toward a more circular textile system. ...
This research addresses this gap by exploring how structured data can support circularity in the textile industry through the development of a prototype ontology. The study is guided by the central research question: “How can we structure a prototype textile ontology that leverages the FEDeRATED project to maximize its contribution to providing insights into circular data?” To answer this question, a Design Science Research (DSR) methodology is employed, enabling the iterative design, development, and evaluation of a practical artefact.
The research begins with a comprehensive literature review to identify existing challenges and opportunities related to circularity, digitalization, and data management in the textile sector. Particular attention is given to the role of ontologies, the Semantic Web, and digital twins in enabling data integration, interoperability, and enhanced decision-making. The FEDeRATED project, which focuses on improving logistics through standardized data sharing, provides a foundational framework for aligning the ontology with broader industry objectives.
The ontology development follows a structured approach, starting with stakeholder analysis and the formulation of competency questions that define its scope and purpose. A middle-out strategy is adopted to construct the class hierarchy, balancing detail and usability. The scope is specifically focused on textile sorters, as they play a critical role in determining the fate of textile materials within the circular system. By providing structured and actionable data, the ontology aims to support sorters in making more informed and sustainable decisions regarding reuse, recycling, and disposal.
The constructed ontology is evaluated through both technical validation and preliminary testing. Tools such as the HermiT reasoner and the Ontology Pitfall Scanner (OOPS!) are used to ensure logical consistency, completeness, and clarity. Validation with mock-up data demonstrates that the ontology effectively captures key elements of textile products and satisfies the defined competency questions. However, certain limitations remain, including the lack of validation by industry experts and the absence of real-world implementation.
Despite these limitations, the research demonstrates that a well-structured ontology can significantly enhance data transparency, interoperability, and decision-making within the textile industry. The study contributes both practically and academically by offering a scalable framework for organizing textile data and supporting circular economy practices. Ultimately, the proposed ontology has the potential to facilitate more sustainable resource management, improve recycling efficiency, and support the transition toward a more circular textile system. ...
The textile industry is widely recognized as one of the largest contributors to global waste and carbon emissions, highlighting an urgent need for more sustainable practices. A key strategy to address these challenges lies in the adoption of circular economy principles, which aim to extend the lifecycle of materials, maximize resource efficiency, and minimize waste. However, a significant barrier to achieving circularity in the textile sector is the lack of structured, accessible, and standardized data across the supply chain. Information regarding material composition, usage, and end-of-life options is often fragmented, inconsistent, or unavailable, limiting effective recycling, reuse, and decision-making processes.
This research addresses this gap by exploring how structured data can support circularity in the textile industry through the development of a prototype ontology. The study is guided by the central research question: “How can we structure a prototype textile ontology that leverages the FEDeRATED project to maximize its contribution to providing insights into circular data?” To answer this question, a Design Science Research (DSR) methodology is employed, enabling the iterative design, development, and evaluation of a practical artefact.
The research begins with a comprehensive literature review to identify existing challenges and opportunities related to circularity, digitalization, and data management in the textile sector. Particular attention is given to the role of ontologies, the Semantic Web, and digital twins in enabling data integration, interoperability, and enhanced decision-making. The FEDeRATED project, which focuses on improving logistics through standardized data sharing, provides a foundational framework for aligning the ontology with broader industry objectives.
The ontology development follows a structured approach, starting with stakeholder analysis and the formulation of competency questions that define its scope and purpose. A middle-out strategy is adopted to construct the class hierarchy, balancing detail and usability. The scope is specifically focused on textile sorters, as they play a critical role in determining the fate of textile materials within the circular system. By providing structured and actionable data, the ontology aims to support sorters in making more informed and sustainable decisions regarding reuse, recycling, and disposal.
The constructed ontology is evaluated through both technical validation and preliminary testing. Tools such as the HermiT reasoner and the Ontology Pitfall Scanner (OOPS!) are used to ensure logical consistency, completeness, and clarity. Validation with mock-up data demonstrates that the ontology effectively captures key elements of textile products and satisfies the defined competency questions. However, certain limitations remain, including the lack of validation by industry experts and the absence of real-world implementation.
Despite these limitations, the research demonstrates that a well-structured ontology can significantly enhance data transparency, interoperability, and decision-making within the textile industry. The study contributes both practically and academically by offering a scalable framework for organizing textile data and supporting circular economy practices. Ultimately, the proposed ontology has the potential to facilitate more sustainable resource management, improve recycling efficiency, and support the transition toward a more circular textile system.
This research addresses this gap by exploring how structured data can support circularity in the textile industry through the development of a prototype ontology. The study is guided by the central research question: “How can we structure a prototype textile ontology that leverages the FEDeRATED project to maximize its contribution to providing insights into circular data?” To answer this question, a Design Science Research (DSR) methodology is employed, enabling the iterative design, development, and evaluation of a practical artefact.
The research begins with a comprehensive literature review to identify existing challenges and opportunities related to circularity, digitalization, and data management in the textile sector. Particular attention is given to the role of ontologies, the Semantic Web, and digital twins in enabling data integration, interoperability, and enhanced decision-making. The FEDeRATED project, which focuses on improving logistics through standardized data sharing, provides a foundational framework for aligning the ontology with broader industry objectives.
The ontology development follows a structured approach, starting with stakeholder analysis and the formulation of competency questions that define its scope and purpose. A middle-out strategy is adopted to construct the class hierarchy, balancing detail and usability. The scope is specifically focused on textile sorters, as they play a critical role in determining the fate of textile materials within the circular system. By providing structured and actionable data, the ontology aims to support sorters in making more informed and sustainable decisions regarding reuse, recycling, and disposal.
The constructed ontology is evaluated through both technical validation and preliminary testing. Tools such as the HermiT reasoner and the Ontology Pitfall Scanner (OOPS!) are used to ensure logical consistency, completeness, and clarity. Validation with mock-up data demonstrates that the ontology effectively captures key elements of textile products and satisfies the defined competency questions. However, certain limitations remain, including the lack of validation by industry experts and the absence of real-world implementation.
Despite these limitations, the research demonstrates that a well-structured ontology can significantly enhance data transparency, interoperability, and decision-making within the textile industry. The study contributes both practically and academically by offering a scalable framework for organizing textile data and supporting circular economy practices. Ultimately, the proposed ontology has the potential to facilitate more sustainable resource management, improve recycling efficiency, and support the transition toward a more circular textile system.