Projects per year
Abstract
To investigate the effect of possible changes to decarbonise the economy, a detailed picture of the current production system is needed. Material/energy flow analysis (MEFA) allows for building such a model. There are, however, prohibitive barriers to the integration and use of the diverse datasets necessary for a system-wide yet technically-detailed MEFA study. Herein we describe a methodology exploiting Semantic Web technologies to integrate and reason on top of this diverse production system data. We designed an ontology to model the structure of our data, and developed a declarative logic-based approach to address the many challenges arising from data integration and usage in this context. Further, this system is designed for easy access to the needed data in terms relevant for additional modelling and to be applied by non-experts, allowing for a wide use of our methodology. Our experiments with UK production data confirm the usefulness of this methodology through a case study based on the UK production system.
Original language | English |
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Pages (from-to) | 665-681 |
Number of pages | 17 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 12922 |
Early online date | 30 Sept 2021 |
DOIs | |
Publication status | Published - 31 Dec 2021 |
Bibliographical note
Funding Information:This work was supported by the EPSRC project UK FIRES (EP/S019111/1), the SIRIUS Centre for Scalable Data Access (Research Council of Norway, project no.: 237889), and Samsung Research UK.
Keywords
- Data integration
- Decision Support System
- Material Flow Analysis
- Ontology
- Resource efficiency
- Rule-based approach
- Semantic technology
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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Dive into the research topics of 'Use of Semantic Technologies to Inform Progress Toward Zero-Carbon Economy'. Together they form a unique fingerprint.Projects
- 1 Finished
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UK FIRES: Locating Resource Efficiency at the Heart of Future Industrial Strategy in the UK
Ibell, T. (PI), Hawkins, W. (CoI), Lupton, R. (CoI), Drewniok, M. (Researcher) & Saunders, C. (Researcher)
Engineering and Physical Sciences Research Council
1/04/19 → 30/11/24
Project: Research council