Linked Spatial Data for the Circular Economy

Introduction

This investigation evaluates 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 investigation is frameworked around tthree use case scenarios, namely fashion, buildings and food, 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. This approach is tested by means of SPARQL/GeoSPARQL queries formulated from competency questions and use case scenarios. Results indicate that actors and products can be connected, and meaningful answers can be obtained for circular collaboration patterns. Linked Data can function as an exchange medium for the Circular Economy driving the 'push and pull' between diverse industry resources. Expected users of this data model are: umbrella organizations and governments wishing to accelerate the Circular Economy, businesses and consumers wishing to find circular trade partnerships.

Objectives

1. The development of an ontology for the Circular Economy
2. A proof of concept to test the feasibility of Linked Data to connect industries and increase collaboration in the Circular Economy