RMIT University
Browse

Using ontology design patterns to represent sustainability indicator sets

conference contribution
posted on 2024-10-31, 20:38 authored by Lida Ghahremanlou, Liam Magee, James Thom
Sustainability indicators are increasingly being used to measure the economic, environmental and social properties of complex systems across different temporal and spatial scales. This motivates their inclusion in open distributed knowledge systems such as the Semantic Web. The diversity of such indicator sets provides considerable choice but also poses problems for those who need to measure and report. To address the modelling problems of indicator sets, we propose the use of Value Partition pattern to construct two design candidates: generic and specific. The generic design is more abstract, with fewer classes and properties, than the specific design. Documents describing two indicator systems - the Global Reporting Initiative and the Organisation for Economic Co-operation and Development - are used in the design of both candidate ontologies. We show the use of existing structural ontology design patterns can help to solve problems of ontology representations for modelling sustainability indicator sets.

Funding

Accounting for Sustainability: Developing an Integrated Approach for Sustainability Assessments

Australian Research Council

Find out more...

History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/978-3-319-54627-8_6
  2. 2.
    ISBN - Is published in 9783319546261 (urn:isbn:9783319546261)

Start page

70

End page

81

Total pages

12

Outlet

Proceedings of the 13th International Workshop, OWLED 2016, and the 5th International Workshop, ORE 2016 [LNCS 10161]

Editors

Mauro Dragoni, María Poveda-Villalón, Ernesto Jimenez-Ruiz

Name of conference

LNCS 10161: OWL: Experiences and Directions - Reasoner Evaluation

Publisher

Springer International Publishing

Place published

Cham, Switzerland

Start date

2016-11-20

End date

2016-11-20

Language

English

Copyright

© Springer International Publishing AG 2017

Former Identifier

2006074481

Esploro creation date

2020-06-22

Fedora creation date

2017-06-21