Using Linked Data to facilitate translations between product and industry classifications

Christopher Davis

university of groningen

Dr. Chris Davis is an Assistant Professor of Energy Informatics and Modeling at the University of Groningen. His research focuses on exploring how approaches such as Data Science, Big Data, Machine Learning, and Agent Based Modeling can be applied to enhance the study of energy and industrial systems.

Abstract

Data that may be of use for Industrial Ecology or Industrial Symbiosis often employs a myriad of classification systems describing different industrial sectors or product categories. The provision of concordances can allow... [ view full abstract ]

Authors

  1. Christopher Davis (university of groningen)
  2. Graham Aid (Ragn-Sells AB)

Topic Areas

• Industrial symbiosis and eco-industrial development , • Open source data, big data, data mining and industrial ecology

Session

WS-4 » Data Transparency and Modeling in Industrial Ecology (09:45 - Wednesday, 28th June, Room G)

Presentation Files

ChrisDavis_WhatLinksToWhat.pdf