TEC: Transparent Emissions Calculation Toolkit

Milan Markovic; Daniel Garijo; Stefano Germano; Iman Naja

doi:10.1007/978-3-031-47243-5_5

TEC: Transparent Emissions Calculation Toolkit

Milan Markovic^* (Corresponding Author), Daniel Garijo, Stefano Germano, Iman Naja

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

6 Downloads (Pure)

Abstract

Greenhouse gas emissions have become a common means for determining the carbon footprint of any commercial activity, ranging from booking a trip or manufacturing a product to training a machine learning model. However, calculating the amount of emissions associated with these activities can be a difficult task, involving estimations of energy used and considerations of location and time period. In this paper, we introduce the Transparent Emissions Calculation (TEC) toolkit, an open source effort aimed at addressing this challenge. Our contributions include two ontologies (ECFO and PECO) that represent emissions conversion factors and the provenance traces of carbon emissions calculations (respectively), a public knowledge graph with thousands f conversion factors (with their corresponding YARRRML and RML mappings) and a prototype carbon emissions calculator which uses our knowledge graph to produce a transparent emissions report.
Resource permanent URL: https://w3id.org/tec-toolkit

Original language	English
Title of host publication	The Semantic Web – ISWC 2023
Subtitle of host publication	22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023, Proceedings, Part I
Publisher	Springer Nature
Number of pages	19
ISBN (Electronic)	978-3-031-47240-4
ISBN (Print)	978-3-031-47239-8
DOIs	https://doi.org/10.1007/978-3-031-47243-5_5
Publication status	Published - Jan 2024

Publication series

Name	Lecture Notes on Computer Science
Volume	14265
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

This work was supported by eBay, Samsung Research UK, Siemens AG, the EPSRC projects ConCur (EP/V050869/1), UK FIRES (EP/S019111/1) and EATS
(EP/V042270/1), the EU Horizon 2020 project GATEKEEPER (No 857223)
and by the Comunidad de Madrid under the Multiannual Agreement with Universidad Polit´ecnica de Madrid (UPM) in the line Support for R&D projects
for Beatriz Galindo researchers, in the context of the V PRICIT (Regional
Programme of Research and Technological Innovation) and through the call
Research Grants for Young Investigators from UPM. For the purpose of open
access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.

Access to Document

10.1007/978-3-031-47243-5_5

Markovic_etal_LNCS_Transparent_Emissions_Calcuilator_AAM
For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. https://creativecommons.org/licenses/by/4.0/ This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/[insert DOI].
Accepted author manuscript, 446 KBLicence: CC BY

Cite this

TEC: Transparent Emissions Calculation Toolkit. / Markovic, Milan (Corresponding Author); Garijo, Daniel; Germano, Stefano et al.
The Semantic Web – ISWC 2023: 22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023, Proceedings, Part I. Springer Nature, 2024. (Lecture Notes on Computer Science; Vol. 14265).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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abstract = "Greenhouse gas emissions have become a common means for determining the carbon footprint of any commercial activity, ranging from booking a trip or manufacturing a product to training a machine learning model. However, calculating the amount of emissions associated with these activities can be a difficult task, involving estimations of energy used and considerations of location and time period. In this paper, we introduce the Transparent Emissions Calculation (TEC) toolkit, an open source effort aimed at addressing this challenge. Our contributions include two ontologies (ECFO and PECO) that represent emissions conversion factors and the provenance traces of carbon emissions calculations (respectively), a public knowledge graph with thousands f conversion factors (with their corresponding YARRRML and RML mappings) and a prototype carbon emissions calculator which uses our knowledge graph to produce a transparent emissions report.Resource permanent URL: https://w3id.org/tec-toolkit",

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note = "This work was supported by eBay, Samsung Research UK, Siemens AG, the EPSRC projects ConCur (EP/V050869/1), UK FIRES (EP/S019111/1) and EATS (EP/V042270/1), the EU Horizon 2020 project GATEKEEPER (No 857223) and by the Comunidad de Madrid under the Multiannual Agreement with Universidad Polit´ecnica de Madrid (UPM) in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation) and through the call Research Grants for Young Investigators from UPM. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. ",

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N2 - Greenhouse gas emissions have become a common means for determining the carbon footprint of any commercial activity, ranging from booking a trip or manufacturing a product to training a machine learning model. However, calculating the amount of emissions associated with these activities can be a difficult task, involving estimations of energy used and considerations of location and time period. In this paper, we introduce the Transparent Emissions Calculation (TEC) toolkit, an open source effort aimed at addressing this challenge. Our contributions include two ontologies (ECFO and PECO) that represent emissions conversion factors and the provenance traces of carbon emissions calculations (respectively), a public knowledge graph with thousands f conversion factors (with their corresponding YARRRML and RML mappings) and a prototype carbon emissions calculator which uses our knowledge graph to produce a transparent emissions report.Resource permanent URL: https://w3id.org/tec-toolkit

AB - Greenhouse gas emissions have become a common means for determining the carbon footprint of any commercial activity, ranging from booking a trip or manufacturing a product to training a machine learning model. However, calculating the amount of emissions associated with these activities can be a difficult task, involving estimations of energy used and considerations of location and time period. In this paper, we introduce the Transparent Emissions Calculation (TEC) toolkit, an open source effort aimed at addressing this challenge. Our contributions include two ontologies (ECFO and PECO) that represent emissions conversion factors and the provenance traces of carbon emissions calculations (respectively), a public knowledge graph with thousands f conversion factors (with their corresponding YARRRML and RML mappings) and a prototype carbon emissions calculator which uses our knowledge graph to produce a transparent emissions report.Resource permanent URL: https://w3id.org/tec-toolkit

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ER -

TEC: Transparent Emissions Calculation Toolkit

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