Title
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.
Year
DOI
Venue
2017
10.1108/IMDS-09-2016-0405
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Keywords
Field
DocType
Ontology engineering, OWL, Decision support, Eco-labeling, Knowledge base, SWRL
Ontology (information science),Ontology engineering,Domain knowledge,Computer science,Decision support system,Knowledge management,Service provider,Knowledge base,Semantic Web Rule Language,Web Ontology Language
Journal
Volume
Issue
ISSN
117
7
0263-5577
Citations 
PageRank 
References 
1
0.36
7
Authors
3
Name
Order
Citations
PageRank
Da Xu133.10
Mohamed Hedi Karray2248.55
B. Archimède3126.81