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A semantic-based decision support platform to assist products’ eco-labeling process

Abstract : Purpose : With the rising concern of safety, health and environmental performance, eco-labeled product and service are becoming more and more popular. However, the long and complex process of eco-labeling sometimes demotivates manufacturers and service providers to be certificated. The purpose of this paper is to propose a decision support platform aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels, also to consolidate the credibility and validity of eco-labels. Design/methodology/approach : This decision support platform is based on a comprehensive knowledge base composed of various domain ontologies that are constructed according to an official eco-label criteria documentation. Findings : Through standard Resource Description Framework and Web Ontology Language ontology query interface, the assets of the decision support platform will stimulate domain knowledge sharing and can be applied into other applications. A case study of laundry detergent eco-labeling process is also presented in this paper. Originality/value : The authors present a reasoning methodology based on inference with Semantic Web Rule Language (SWRL) rules which allows decision making with explanation.
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Submitted on : Tuesday, November 12, 2019 - 3:01:35 PM
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Da Xu, Mohamed Hedi Karray, Bernard Archimède. A semantic-based decision support platform to assist products’ eco-labeling process. Industrial Management & Data Systems, 2017, 117 (7), pp.1340-1361. ⟨10.1108/IMDS-09-2016-0405⟩. ⟨hal-02359711⟩



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