Linked Spatial Data for a Circular Economy: Exploring its potential through a Textile Use Case.
Year: 2017
Type: conference-paper
Abstract: This report investigates the potential of Linked Spatial Data to facilitate collaboration in a Circular Economy. It proposes using Linked Data as a common standard for connecting product passports, and creates an ontology that can integrate Circular Economy actors based on location and their material in- and outputs. The report presents three use cases, each centered on an exchange relationship between distinct economic actors. Products and actors will be related via creation- and post-use activities, which each have specific inputs and outputs. Spatial parameters are used to determine the feasibility of exchanges between actors. Expected results and conclusions are that Linked Data can function as an exchange medium for the Circular Economy driving the 'push and pull' between diverse industry resources.
Authors: Elke Sauter, Martijn Witjes
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2795058957