An Open Source Dataset and Ontology for Product Footprinting

Agneta Ghose; Katja Hose; Matteo Lissandrini; Bo Pedersen Weidema

doi:10.1007/978-3-030-32327-1_15

An Open Source Dataset and Ontology for Product Footprinting

Agneta Ghose, Katja Hose, Matteo Lissandrini, Bo Pedersen Weidema

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

Product footprint describes the environmental impacts of a product system. To identify such impact, Life Cycle Assessment (LCA) takes into account the entire lifespan and production chain, from material extraction to final disposal or recycling. This requires gathering data from a variety of heterogeneous sources, but current access to those is limited and often expensive. The BONSAI project, instead, aims to build a shared resource where the community can contribute to data generation, validation, and management decisions. In particular, its first goal is to produce an open dataset and an open source toolchain capable of supporting LCA calculations. This will allow the science of lifecycle assessment to perform in a more transparent and more reproducible way, and will foster data integration and sharing. Linked Open Data and semantic technologies are a natural choice for achieving this goal. In this work, we present the first results of this effort: (1) the core of a comprehensive ontology for industrial ecology and associated relevant data; and (2) the first steps towards an RDF dataset and associated tools to incorporate several large LCA data sources.

Original language	English
Title of host publication	The Semantic Web : ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers
Editors	Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Stefan Schlobach, Maria-Esther Vidal, Maria Maleshkova, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, Ruben Verborgh
Number of pages	5
Publisher	Springer
Publication date	2019
Pages	75-79
ISBN (Print)	9783030323264
ISBN (Electronic)	978-3-030-32327-1
DOIs	https://doi.org/10.1007/978-3-030-32327-1_15
Publication status	Published - 2019
Event	16th International Semantic Web Conference, ESWC 2019 - Portorož, Slovenia Duration: 2 Jun 2019 → 6 Jun 2019

Conference

Conference	16th International Semantic Web Conference, ESWC 2019
Country/Territory	Slovenia
City	Portorož
Period	02/06/2019 → 06/06/2019
Sponsor	Elsevier, et al., QualiChain, Semantic Web Company, Siemens, STI International

Series	Lecture Notes in Computer Science
Volume	11762
ISSN	0302-9743

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-32327-1_15

http://people.cs.aau.dk/~matteo/pdf/eswc19-bonsai.pdfLicence: Unspecified

AUB Link

Search for the material in Aalborg University Library's search engine

1 Active
3 Finished

Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
ODA: Open Data for Sustainability Assessment
Løkke, S., Hose, K., Thomsen, C., Ghose, A., Weidema, B., Pizzol, M., Nath, R. P., Hansen, E. R. & Lissandrini, M.
01/01/2019 → 01/09/2022
Project: Research
Unleashing the Potential of Open Data
Hose, K.
01/01/2017 → 31/12/2021
Project: Research

ESWC 2019 Best Poster Award
Ghose, Agneta (Recipient), Hose, Katja (Recipient), Lissandrini, Matteo (Recipient) & Weidema, Bo (Recipient), 2019
Prize: Conference prizes

Cite this

Ghose, A., Hose, K., Lissandrini, M., & Weidema, B. P. (2019). An Open Source Dataset and Ontology for Product Footprinting. In P. Hitzler, S. Kirrane, O. Hartig, V. de Boer, S. Schlobach, M-E. Vidal, M. Maleshkova, K. Hammar, N. Lasierra, S. Stadtmüller, K. Hose, & R. Verborgh (Eds.), The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers (pp. 75-79). Springer. https://doi.org/10.1007/978-3-030-32327-1_15

Ghose, Agneta ; Hose, Katja ; Lissandrini, Matteo et al. / An Open Source Dataset and Ontology for Product Footprinting. The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers. editor / Pascal Hitzler ; Sabrina Kirrane ; Olaf Hartig ; Victor de Boer ; Stefan Schlobach ; Maria-Esther Vidal ; Maria Maleshkova ; Karl Hammar ; Nelia Lasierra ; Steffen Stadtmüller ; Katja Hose ; Ruben Verborgh. Springer, 2019. pp. 75-79 (Lecture Notes in Computer Science, Vol. 11762).

@inproceedings{aaadef98e8e34da8983d7ff4ee31b9d9,

title = "An Open Source Dataset and Ontology for Product Footprinting",

abstract = "Product footprint describes the environmental impacts of a product system. To identify such impact, Life Cycle Assessment (LCA) takes into account the entire lifespan and production chain, from material extraction to final disposal or recycling. This requires gathering data from a variety of heterogeneous sources, but current access to those is limited and often expensive. The BONSAI project, instead, aims to build a shared resource where the community can contribute to data generation, validation, and management decisions. In particular, its first goal is to produce an open dataset and an open source toolchain capable of supporting LCA calculations. This will allow the science of lifecycle assessment to perform in a more transparent and more reproducible way, and will foster data integration and sharing. Linked Open Data and semantic technologies are a natural choice for achieving this goal. In this work, we present the first results of this effort: (1) the core of a comprehensive ontology for industrial ecology and associated relevant data; and (2) the first steps towards an RDF dataset and associated tools to incorporate several large LCA data sources. ",

author = "Agneta Ghose and Katja Hose and Matteo Lissandrini and Weidema, {Bo Pedersen}",

year = "2019",

doi = "10.1007/978-3-030-32327-1_15",

language = "English",

isbn = "9783030323264",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "75--79",

editor = "Pascal Hitzler and Sabrina Kirrane and Olaf Hartig and {de Boer}, Victor and Stefan Schlobach and Maria-Esther Vidal and Maria Maleshkova and Karl Hammar and Nelia Lasierra and Steffen Stadtm{\"u}ller and Katja Hose and Ruben Verborgh",

booktitle = "The Semantic Web",

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note = "16th International Semantic Web Conference, ESWC 2019 ; Conference date: 02-06-2019 Through 06-06-2019",

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Ghose, A , Hose, K, Lissandrini, M & Weidema, BP 2019, An Open Source Dataset and Ontology for Product Footprinting. in P Hitzler, S Kirrane, O Hartig, V de Boer, S Schlobach, M-E Vidal, M Maleshkova, K Hammar, N Lasierra, S Stadtmüller, K Hose & R Verborgh (eds), The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers. Springer, Lecture Notes in Computer Science, vol. 11762, pp. 75-79, 16th International Semantic Web Conference, ESWC 2019, Portorož, Slovenia, 02/06/2019. https://doi.org/10.1007/978-3-030-32327-1_15

An Open Source Dataset and Ontology for Product Footprinting. / Ghose, Agneta ; Hose, Katja; Lissandrini, Matteo et al.
The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers. ed. / Pascal Hitzler; Sabrina Kirrane; Olaf Hartig; Victor de Boer; Stefan Schlobach; Maria-Esther Vidal; Maria Maleshkova; Karl Hammar; Nelia Lasierra; Steffen Stadtmüller; Katja Hose; Ruben Verborgh. Springer, 2019. p. 75-79 (Lecture Notes in Computer Science, Vol. 11762).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - An Open Source Dataset and Ontology for Product Footprinting

AU - Ghose, Agneta

AU - Hose, Katja

AU - Lissandrini, Matteo

AU - Weidema, Bo Pedersen

PY - 2019

Y1 - 2019

N2 - Product footprint describes the environmental impacts of a product system. To identify such impact, Life Cycle Assessment (LCA) takes into account the entire lifespan and production chain, from material extraction to final disposal or recycling. This requires gathering data from a variety of heterogeneous sources, but current access to those is limited and often expensive. The BONSAI project, instead, aims to build a shared resource where the community can contribute to data generation, validation, and management decisions. In particular, its first goal is to produce an open dataset and an open source toolchain capable of supporting LCA calculations. This will allow the science of lifecycle assessment to perform in a more transparent and more reproducible way, and will foster data integration and sharing. Linked Open Data and semantic technologies are a natural choice for achieving this goal. In this work, we present the first results of this effort: (1) the core of a comprehensive ontology for industrial ecology and associated relevant data; and (2) the first steps towards an RDF dataset and associated tools to incorporate several large LCA data sources.

AB - Product footprint describes the environmental impacts of a product system. To identify such impact, Life Cycle Assessment (LCA) takes into account the entire lifespan and production chain, from material extraction to final disposal or recycling. This requires gathering data from a variety of heterogeneous sources, but current access to those is limited and often expensive. The BONSAI project, instead, aims to build a shared resource where the community can contribute to data generation, validation, and management decisions. In particular, its first goal is to produce an open dataset and an open source toolchain capable of supporting LCA calculations. This will allow the science of lifecycle assessment to perform in a more transparent and more reproducible way, and will foster data integration and sharing. Linked Open Data and semantic technologies are a natural choice for achieving this goal. In this work, we present the first results of this effort: (1) the core of a comprehensive ontology for industrial ecology and associated relevant data; and (2) the first steps towards an RDF dataset and associated tools to incorporate several large LCA data sources.

U2 - 10.1007/978-3-030-32327-1_15

DO - 10.1007/978-3-030-32327-1_15

M3 - Article in proceeding

SN - 9783030323264

T3 - Lecture Notes in Computer Science

SP - 75

EP - 79

BT - The Semantic Web

A2 - Hitzler, Pascal

A2 - Kirrane, Sabrina

A2 - Hartig, Olaf

A2 - de Boer, Victor

A2 - Schlobach, Stefan

A2 - Vidal, Maria-Esther

A2 - Maleshkova, Maria

A2 - Hammar, Karl

A2 - Lasierra, Nelia

A2 - Stadtmüller, Steffen

A2 - Hose, Katja

A2 - Verborgh, Ruben

PB - Springer

T2 - 16th International Semantic Web Conference, ESWC 2019

Y2 - 2 June 2019 through 6 June 2019

ER -

Ghose A , Hose K, Lissandrini M, Weidema BP. An Open Source Dataset and Ontology for Product Footprinting. In Hitzler P, Kirrane S, Hartig O, de Boer V, Schlobach S, Vidal M-E, Maleshkova M, Hammar K, Lasierra N, Stadtmüller S, Hose K, Verborgh R, editors, The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Revised Selected Papers. Springer. 2019. p. 75-79. (Lecture Notes in Computer Science, Vol. 11762). doi: 10.1007/978-3-030-32327-1_15

An Open Source Dataset and Ontology for Product Footprinting

Abstract

Conference

UN SDGs

Access to Document

AUB Link

Fingerprint

Projects

Poul Due Jensen Professorate in Big Data and Artificial Intelligence

ODA: Open Data for Sustainability Assessment

Unleashing the Potential of Open Data

Prizes

ESWC 2019 Best Poster Award

Cite this