Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information

Pasquale Lisena; Daniel Schwabe; Marieke van Erp; Raphael Troncy; William Tullett; Inger Leemans; Lizzie Marx; Sofia Colette Ehrich

doi:10.1007/978-3-031-06981-9_23

Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information

Pasquale Lisena
, Daniel Schwabe
, Marieke van Erp
, Raphael Troncy
, William Tullett
, Inger Leemans
, Lizzie Marx
, Sofia Colette Ehrich

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Smells are a key sensory experience. They are part of a multi-billion euro industry and gaining traction in different research fields such as museology, art, history, and digital humanities. Until now, a semantic model for describing smells and their associated experiences was lacking. In this paper, we present the Odeuropa data model for olfactory heritage information. The model has been developed in collaboration with olfactory and art historians. Our model can express the various stages in a smell’s lifetime – creation, being experienced, deodorisation – and their relation to locations, times and the agents that interact with them.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings
Editors	Paul Groth, Maria-Esther Vidal, Fabian Suchanek, Pedro Szekley, Pavan Kapanipathi, Catia Pesquita, Hala Skaf-Molli, Minna Tamper
Publisher	Springer Nature
Pages	387-405
Number of pages	19
ISBN (Electronic)	9783031069819
ISBN (Print)	9783031069802
DOIs	https://doi.org/10.1007/978-3-031-06981-9_23
Publication status	Published - 2022
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13261 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Funding

Horizon 2020 research and innovation programme within the Odeuropa project (grant agreement No. 101004469). Smells that helped get this paper out: citrus (to boost our energy levels), rosemary (to keep us alert) and the smell of hell (to keep us on our toes). Acknowledgements. This work has been partially supported by European Union’s This work has been partially supported by European Union’s Horizon 2020 research and innovation programme within the Odeuropa project (grant agreement No. 101004469). Smells that helped get this paper out: citrus (to boost our energy levels), rosemary (to keep us alert) and the smell of hell (to keep us on our toes).

Funders	Funder number
Horizon 2020
European Commission
Horizon 2020 Framework Programme	101004469

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10.1007/978-3-031-06981-9_23

Capturing the Semantics of Smell-The Odeuropa Data Model for Olfactory Heritage InformationFinal published version, 2.34 MBLicence: Article 25fa Dutch Copyright Act

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Lisena, P., Schwabe, D., van Erp, M., Troncy, R., Tullett, W., Leemans, I., Marx, L., & Ehrich, S. C. (2022). Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information. In P. Groth, M.-E. Vidal, F. Suchanek, P. Szekley, P. Kapanipathi, C. Pesquita, H. Skaf-Molli, & M. Tamper (Eds.), The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings (pp. 387-405). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13261 LNCS). Springer Nature. https://doi.org/10.1007/978-3-031-06981-9_23

Lisena, Pasquale ; Schwabe, Daniel ; van Erp, Marieke et al. / Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information. The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings. editor / Paul Groth ; Maria-Esther Vidal ; Fabian Suchanek ; Pedro Szekley ; Pavan Kapanipathi ; Catia Pesquita ; Hala Skaf-Molli ; Minna Tamper. Springer Nature, 2022. pp. 387-405 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Smells are a key sensory experience. They are part of a multi-billion euro industry and gaining traction in different research fields such as museology, art, history, and digital humanities. Until now, a semantic model for describing smells and their associated experiences was lacking. In this paper, we present the Odeuropa data model for olfactory heritage information. The model has been developed in collaboration with olfactory and art historians. Our model can express the various stages in a smell{\textquoteright}s lifetime – creation, being experienced, deodorisation – and their relation to locations, times and the agents that interact with them.",

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Lisena, P, Schwabe, D, van Erp, M, Troncy, R, Tullett, W, Leemans, I, Marx, L & Ehrich, SC 2022, Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information. in P Groth, M-E Vidal, F Suchanek, P Szekley, P Kapanipathi, C Pesquita, H Skaf-Molli & M Tamper (eds), The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13261 LNCS, Springer Nature, pp. 387-405. https://doi.org/10.1007/978-3-031-06981-9_23

Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information. / Lisena, Pasquale; Schwabe, Daniel; van Erp, Marieke et al.
The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings. ed. / Paul Groth; Maria-Esther Vidal; Fabian Suchanek; Pedro Szekley; Pavan Kapanipathi; Catia Pesquita; Hala Skaf-Molli; Minna Tamper. Springer Nature, 2022. p. 387-405 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13261 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Lisena P, Schwabe D, van Erp M, Troncy R, Tullett W, Leemans I et al. Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information. In Groth P, Vidal ME, Suchanek F, Szekley P, Kapanipathi P, Pesquita C, Skaf-Molli H, Tamper M, editors, The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings. Springer Nature. 2022. p. 387-405. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 May 31. doi: 10.1007/978-3-031-06981-9_23

Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information

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