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

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 -