Use of semantic technologies to inform progress toward zero-carbon economy: Extended Abstract

Stefano Germano, Carla Saunders, Ian Horrocks, Rick Lupton

Research output: Contribution to journalConference articlepeer-review

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. Here we present a demonstration of the "Physical Resources Observatory" (PRObs) system, which exploits Semantic Web technologies to integrate and reason on top of this diverse production system data. We demonstrate how this system supports domain experts to load datasets, map them to the ontology, and query the extended data to meet several modelling use cases.

Original languageEnglish
Article number354
JournalCEUR Workshop Proceedings
Volume2980
Publication statusPublished - 31 Dec 2021
Event2021 International Semantic Web Conference Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters-Demos-Industry 2021 - Virtual, Online
Duration: 24 Oct 202128 Oct 2021

Keywords

  • Data integration
  • Decision Support System
  • Material Flow Analysis
  • Ontology
  • Resource efficiency
  • Rule-based approach
  • Semantic Technology

ASJC Scopus subject areas

  • Computer Science(all)

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