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

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

^*Corresponding author for this work

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

8 Citations (Scopus)

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	ESWC 2022
Publisher	Springer
Pages	387-405
ISBN (Print)	978-3-031-06980-2
DOIs	https://doi.org/10.1007/978-3-031-06981-9_23
Publication status	Published - May 2022

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13261

Access to Document

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

Best Resources Paper
van Erp, Marieke (Recipient), 02 Jun 2022
Prize: Prize (including medals and awards) › Academic

Cite this

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title = "Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information",

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.",

author = "Pasquale Lisena and Daniel Schwabe and {van Erp}, Marieke and Rapha{\"e}l Troncy and William Tullett and Inger Leemans and Lizzie Marx and Sofia Ehrich",

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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: ESWC 2022. Springer, 2022. p. 387-405 (Lecture Notes in Computer Science; Vol. 13261).

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

TY - CHAP

T1 - Capturing the Semantics of Smell

T2 - The Odeuropa Data Model for Olfactory Heritage Information

AU - Lisena, Pasquale

AU - Schwabe, Daniel

AU - van Erp, Marieke

AU - Troncy, Raphaël

AU - Tullett, William

AU - Leemans, Inger

AU - Marx, Lizzie

AU - Ehrich, Sofia

PY - 2022/5

Y1 - 2022/5

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-031-06981-9_23

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

M3 - Contribution to conference proceedings

SN - 978-3-031-06980-2

T3 - Lecture Notes in Computer Science

SP - 387

EP - 405

BT - The Semantic Web

PB - Springer

ER -

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

Abstract

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