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ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research

Leistungen

Impact Activities Report Y1

Overview and summary of impact and dissemination activities undertaken in months 4 10 and 12

Impact Activities Report Y2

Overview and summary of olfactory event (M20) and text demonstrator workshop (M24) and other impact and dissemination activities undertaken in Y2.

Taxonomy of Olfactory Phenomena in Images

We deliver a taxonomy of odouractive objectsphenomena which are connected to image databases such as ImageNet to provide training data for computer vision

Guidelines on the use of smells in GLAMs

These guidelines will offer evidence-based recommendations for the safe use of odours in heritage spaces.

Ontology and vocabularies for olfactory information

Describe the data model and interlinked vocabularies developed to represent olfactory knowledge T41

Best practices in olfactory digitisation

This document will present findings from the documentation and taxonomy development of two culturally significant smells.

Context model for olfactory mentions in texts

Describe methods and tools to build contextual language models focused on smells (T4.4).

Policy Brief

Groundwork for D7.5 Policy Paper

Methods and tools for knowledge graph link prediction and clustering

Describe methods and tools to perform link prediction in order to complete a knowledge graph, and clustering to infer similarities between intangible items (T4.3).

Annotation scheme and multilingual taxonomy

Describes the annotation scheme developed to identify olfactory information in text as well as the multilingual taxonomy to capture domainspecific information T31

Impact Activities Report Y3

Overview and summary of dissemination activities and entrepreneurial hackathon organised in Y3.

Project Fact Sheet

Fact sheet with basic project information for the EU The fact sheet is kept up to date during the project

Demonstrator: image retrieval and visualization

We deliver a Jupyter based demonstrator to search D2.1/D2.2 and map the images according to similarities in visual appearance and olfaction.

Olfactory Storytelling Toolkit (OST)

Toolbox with future-oriented recommendations and methodologies for improving cultural heritage impact through sensory storytelling

Demonstrators for Olfactory Cultural Heritage

The publication of two open source demonstrators showcasing the usage of the EOKG for the general public: The Olfactory Knowledge Explorer; and a serious game application (T4.5).

Demonstrator: text-based access to olfactory information

Interactive notebooks for retrieving olfactory information from text in context (T3.2), across time (T3.3) and in relation to emotions T(3.4)

Policy Paper - Olfactory Heritage Toolkit (OHT)

Toolbox with future-oriented recommendations and methodologies for sensory heritage policies and practices

European Olfactory Knowledge Graph version 2

Provide the European Olfactory Knowledge Graph together with its documented API (T4.2).

Odeuropa text processing system with historical corpus analysis version 2

Describes the tools developed to process historical corpora, capturing semantic shifts and language change phenomena, and their integration in the Odeuropa text processing system (T3.3)

European Olfactory Knowledge Graph version 1

Provide the European Olfactory Knowledge Graph together with its documented API T42

Computer Vision Challenge

We organise a Kaggle challenge for the computer vision community to solve tasks with D2.1-2.2 and to compete with our benchmark D2.3. We publish these results in Computer Vision, DH and art history conferences and journals.

Questionnaires for measuring the value of introducing smells in GLAMs

Two questionnaires will be produced, (1) to assess attitudes towards the use of smells in GLAMs and (2) to measure the impact of the use of smells in GLAMs.

PastScent Network

A social network for scholars in any discipline working on smell in the past This will include a discussion board on the Odeuropa website a mailing list an actively updated bibliography and resource page linking to relevant projects and initiatives The network will be informed by an advisory board T53

Final Odeuropa text processing system with emotion analysis version 3

Describes the last version of the Odeuropa text processing system, including all the components for information extraction, diachronic text analysis and emotion recognition in different languages (T3.4)

Object detection/ image analysis

We deliver an object recognition and detection AI model which identifies odour-active objects and gestures in art works and co-occurrences via computer vision and D2.2 as training data. We interpret these results critically and in their historical context.

Academic conference on olfactory history and digital heritage

A two-day academic conference on smell in cultural heritage. The key question for this conference will be ‘how can we use and improve the availability of digital heritage data to trace past sensory experiences across Europe?’ Recorded talks will be published on the project website (T5.6) and its papers submitted for review to a special issue in an open-access journal (T5.7).

Odeuropa text processing system version 1

Describes the basic version of the Odeuropa text processing system, i.e. the tools developed to extract olfactory information in different languages, focusing in particular on mentions of places, events, persons and specific terminology stemming from the multilingual taxonomy and connected to the olfactory domain (T3.2).

Multilingual historical corpora and annotated benchmarks

Describes the plain text corpora collected for each project language and covering different time spans. It describes also the benchmarks annotated for the evaluation of the text processing modules (T3.1)

Annotated image data version 2

We deliver annotations on D2.1 in two steps: manually annotated data on a test set of 5k-7k images. And after finishing D2.3 annotations with support by the machine. Annotations not only enrich GLAM data (T7.3) but serve as vital ground truth for machine learning.

Annotated image data version 1

We deliver annotations on D2.1 in two steps: manually annotated data on a test set of 5k-7k images. And after finishing D2.3 annotations with support by the machine. Annotations not only enrich GLAM data (T7.3) but serve as vital ground truth for machine learning.

Pilot version of an Online Encyclopaedia of Smell Heritage

An online encyclopaedia of Smell Heritage. This site’s interface will draw on and re-use the project’s analyses of enriched data (T5.4). It will address smells, identities, sites, feelings, practices, and noses. It will be produced in two stages: initial version (60 entries) and a full version (120 entries) (T5.5).

Project website

Odeuropa website showing all public information deliverables papers presentations and demonstrators It also keeps track of collaborations events and pointers to all public software and data produced

Veröffentlichungen

From Smelly Buildings to the Scented Past: An Overview of Olfactory Heritage

Autoren: Cecilia Bembibre and Matija Strlič
Veröffentlicht in: Frontiers in Psychology, 2022, ISSN 1664-1078
Herausgeber: Frontiers Research Foundation
DOI: 10.3389/fpsyg.2021.718287

How can scents enhance the impact of guided museum tours? towards an impact approach for olfactory museology

Autoren: Caro Verbeek, Inger Leemans and Bernardo Fleming
Veröffentlicht in: The Senses and Society, Ausgabe Volume 17, Ausgabe 3, 2022, Seite(n) 315-342, ISSN 1745-8927
Herausgeber: Berg Publishers
DOI: 10.1080/17458927.2022.2142012

Detecting Fine-Grained Emotions in Literature

Autoren: Luis Rei; Dunja Mladenić
Veröffentlicht in: Applied Sciences;, Ausgabe Volume 13; Ausgabe 13, 2023, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app13137502

Knowing by Sensing: How to Teach the History of Smell

Autoren: Inger Leemans, William Tullett, Caro Verbeek, Sofia Collette Ehrich, Kate McLean, Cecilia Bembibre, Victoria-Anne Michel
Veröffentlicht in: American Historical Review, Ausgabe Volume 128, Ausgabe 3, 2023, Seite(n) 1251–1264, ISSN 0002-8762
Herausgeber: American Historical Association
DOI: 10.1093/ahr/rhad359

Harvesting Context and Mining Emotions Related to Olfactory Cultural Heritage

Autoren: M. Besher Massri; Inna Novalija; Dunja Mladenić; Janez Brank; Sara Graça da Silva; Natasza Marrouch; Carla Murteira; Ali Hürriyetoğlu; Beno Šircelj
Veröffentlicht in: Multimodal Technologies and Interaction, Ausgabe Volume 6, issue 7, 2022, ISSN 2414-4088
Herausgeber: MDPI
DOI: 10.20944/preprints202206.0050.v1

Whiffstory, Using Multidisciplinary Methods to Represent the Olfactory Past

Autoren: Inger Leemans, William Tullett, Cecilia Bembibre, Lizzie Marx
Veröffentlicht in: American Historical Review, Ausgabe Volume 127, Ausgabe 2, 2022, Seite(n) 849–879, ISSN 0002-8762
Herausgeber: American Historical Association
DOI: 10.1093/ahr/rhac159

ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings

Autoren: Madhu, Prathmesh and Villar-Corrales, Angel and Kosti, Ronak and Bendschus, Torsten and Reinhardt, Corinna and Bell, Peter and Maier, Andreas and Christlein, Vincent
Veröffentlicht in: Journal on Computing and Cultural Heritage, Ausgabe Volume 16, No 1, 2022, Seite(n) 1-17, ISSN 1556-4673
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3569089

More than the Name of the Rose: How to Make Computers Read, See, and Organize Smells

Autoren: van Erp, Marieke; Tullett, William; Christlein, Vincent; Ehrhart, Thibault; Hürriyetoglu, Ali; Leemans, Inger; Lisena, Pasquale; Menini, Stefano; Schwabe, Daniel; Tonelli, Sara; Troncy, Raphaël; Zinnen, Mathias
Veröffentlicht in: American Historical Review, Ausgabe Volume 128, Ausgabe 1, 2023, Seite(n) 335–369,, ISSN 0002-8762
Herausgeber: American Historical Association
DOI: 10.1093/ahr/rhad141

Knowledge, Norms, and Noses

Autoren: William Tullett
Veröffentlicht in: WerkstattGeschichte, Ausgabe Volume 31, issue 87, 2023, Seite(n) 29-42, ISSN 2701-1992
Herausgeber: transcript Verlag
DOI: 10.14361/zwg-2023-870104

Seeing Smell: Sourcing Olfactory Imagery Using Artificial Intelligence

Autoren: Lizzie Marx, Mathias Zinnen, Sofia Collette Ehrich, William Tullett, Cecilia Bembibre, and Inger Leemans
Veröffentlicht in: Arts et Savoirs, Ausgabe Volume 20, 2023, ISSN 2258-093X
Herausgeber: OpenEdition
DOI: 10.4000/aes.6834

Making Whiffstory: A Contemporary Re-creation of an Early Modern Scent for Perfumed Gloves

Autoren: Lizzie Marx, Mathias Zinnen, Sofia Ehrich, William Tullett, Cecilia Bembibre, and Inger Leemans
Veröffentlicht in: American Historical Review, Ausgabe Volume 127, Ausgabe 2, 2022, Seite(n) 881–893, ISSN 0002-8762
Herausgeber: American Historical Association
DOI: 10.1093/ahr/rhac150

State of the Field: Sensory History

Autoren: William Tullett
Veröffentlicht in: History,, Ausgabe 106, 2021, Seite(n) 804-820, ISSN 1468-229X
Herausgeber: Wiley
DOI: 10.1111/1468-229x.13246

ICON: An Ontology for Comprehensive Artistic Interpretations

Autoren: Bruno Sartini; Sofia Baroncini; Marieke van Erp; Francesca Tomasi; Aldo Gangemi
Veröffentlicht in: Journal on Computing and Cultural Heritage, Ausgabe Volume 16, Ausgabe 3, 2023, Seite(n) 1-38, ISSN 1556-4711
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3594724

AHR Conversation: Smell, History, and Heritage

Autoren: William Tullett, Inger Leemans, Cecilia Bembibre, Xuelei Huang, Hsuan Hsu, Melanie Keichle, Duane Jethro, Jorge Otero-Palos, Stephanie Weissmann, Anna Chen
Veröffentlicht in: American Historical Review, Ausgabe Volume 127, issue 1, 2022, Seite(n) 261-309, ISSN 0002-8762
Herausgeber: American Historical Association
DOI: 10.1093/ahr/rhac147

Geur in immaterieel erfgoed. Een deelonderzoek van Odeuropa

Autoren: Sophie Elpers, Julia van Duijvenvoorde, Judy Jaffe-Schagen, Inger Leemans, Karolina Miłkowska
Veröffentlicht in: Volkskunde. Tijdschrift over de cultuur van het dagelijks leven, Ausgabe 122 (3), 2021, Seite(n) 445-450, ISSN 0042-8523
Herausgeber: vzw Centrum voor Studie en Documentatie

How to See Smells: Extracting Olfactory References from Artworks

Autoren: Mathias Zinnen
Veröffentlicht in: WWW '21: Companion Proceedings of the Web Conference 2021, 2021, Seite(n) 725-726
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3442442.3453710

Building a Multilingual Taxonomy of Olfactory Terms with Timestamps

Autoren: Stefano Menini, Teresa Paccosi, Serra Sinem Tekiroğlu, Sara Tonelli
Veröffentlicht in: Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022, Seite(n) 4030–4039
Herausgeber: European Language Resources Association

Data Mining and Knowledge Graphs as a Backbone for Advanced Olfactory Experiences

Autoren: Pasquale Lisena, Marieke van Erp, Cecilia Bembibre and Inger Leemans
Veröffentlicht in: Proceedings of Smell, Taste, and Temperature Interfaces (STT2021), 2021
Herausgeber: Smell, Taste and Temperature Workshop

An ontology for creating hypermedia stories over knowledge graphs

Autoren: Lisena, Pasquale; Schwabe, Daniel; van Erp, Marieke; Leemans, Inger; Tullett, William; Troncy, Raphaël; Ehrich, Sofia Colette; Ehrhart, Thibault
Veröffentlicht in: Proceedings of SWODCH 2023, Workshop on Semantic Web and Ontology Design for Cultural Heritage, 2023
Herausgeber: CEUR Workshop Proceedings

Nose-First. Towards an Olfactory Gaze for Digital Art History

Autoren: Sofia Ehrich, Caro Verbeek, Cecilia Bembibre, Mathias Zinnen, Lizzie Marx, Inger Leemans
Veröffentlicht in: Proceedings of the First International Workshop on Multisensory Data & Knowledge. LDK 2021, 2021
Herausgeber: CEUR-WS

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

Autoren: Pasquale Lisena, Daniel Schwabe , Marieke van Erp, Raphaël Troncy , William Tullett , Inger Leemans , Lizzie Marx, and Sofia Colette Ehrich
Veröffentlicht in: Proceedings of the 19th Extended Semantic Web Conference (ESWC 2022), 2022, Seite(n) 387– 405
Herausgeber: Springer
DOI: 10.1007/978-3-031-06981-9_23

MUSTI - Multimodal Understanding of Smells in Texts and Images at MediaEval 2022

Autoren: Hürriyetoglu, Ali; Paccosi, Teresa; Menini, Stefano; Zinnen, Mathias; Lisena, Pasquale; Akdemir, Kiymet; Troncy, Raphaël; van Erp, Marieke
Veröffentlicht in: Working Notes Proceedings of the MediaEval 2022 Workshop, 2023
Herausgeber: CEUR Workshop Proceedings

BERToldo, the Historical BERT for Italian

Autoren: Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli
Veröffentlicht in: Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages, 2022, Seite(n) 68-72
Herausgeber: European Language Resources Association

Apples to Apples: A Systematic Evaluation of Topic Models

Autoren: Ismail Harrando, Pasquale Lisena, Raphael Troncy
Veröffentlicht in: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021, Seite(n) 483-493
Herausgeber: INCOMA Ltd.

A Multilingual Benchmark to Capture Olfactory Situations over Time

Autoren: Menini, S.; Paccosi, T.; Tonelli, S.; Van Erp, M.; Leemans, I.; Lisena, P.; Troncy, R.; Tullett, W.; Hürriyetoglu, A.; Dijkstra, G.; Gordijn, F.; Jürgens, E.; Koopman, J.; Ouwerkerk, A.; Steen, S.; Novalija, I.; Brank, J.; Mladenić, D.; Zidar, A.
Veröffentlicht in: Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022, Seite(n) 1-10
Herausgeber: Association for Computational Linguistics
DOI: 10.18653/v1/2022.lchange-1.1

FrameNet-like Annotation of Olfactory Information in Texts

Autoren: Sara Tonelli and Stefano Menini
Veröffentlicht in: Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 2021, Seite(n) 11-20
Herausgeber: Association for Computational Linguistics

SniffyArt: The Dataset of Smelling Persons

Autoren: Mathias Zinnen; Azhar Hussian; Hang Tran; Prathmesh Madhu; Andreas Maier; Vincent Christlein
Veröffentlicht in: Proceedings of the 5th Workshop on AnalySis, Understanding and ProMotion of HeritAge Contents, 2023, Seite(n) 49–58
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3607542.3617357

One-Shot Object Detection in Heterogeneous Artwork Datasets

Autoren: Madhu, Prathmesh and Meyer, Anna and Zinnen, Mathias and Mührenberg, Lara and Suckow, Dirk and Bendschus, Torsten and Reinhardt, Corinna and Bell, Peter and Verstegen, Ute and Kosti, Ronak and Maier, Andreas and Christlein, Vincent
Veröffentlicht in: Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2022
Herausgeber: IEEE
DOI: 10.1109/ipta54936.2022.9784141

Observing Odor-Related Information in Academic Domain

Autoren: Novalija, M. B. Massri, D. Mladenić, D. Schwabe, M. Grobelnik, J. Brank
Veröffentlicht in: Proceedings of the Slovenian conference SiKDD 2021, 2021
Herausgeber: JSI

ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints

Autoren: Sindel, Aline; Maier, Andreas; Christlein, Vincent
Veröffentlicht in: Computer Vision – ECCV 2022 Workshops, Ausgabe 13, 2022, Seite(n) 298–313
Herausgeber: Springer
DOI: 10.48550/arxiv.2210.09204

Transfer Learning for Olfactory Object Detection

Autoren: Zinnen, Mathias; Madhu, Prathmesh; Bell, Peter; Maier, Andreas; Christlein, Vincent
Veröffentlicht in: 2022 Digital Humanities Conference, 2022
Herausgeber: ADHO
DOI: 10.48550/arxiv.2301.09906

ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition

Autoren: Zinnen, Mathias; Madhu, Prathmesh; Kosti, Ronak; Bell, Peter; Maier, Andreas; Christlein, Vincent
Veröffentlicht in: 26th International Conference on Pattern Recognition (ICPR), Ausgabe 5, 2022, Seite(n) 4989-4994
Herausgeber: IEEE
DOI: 10.1109/icpr56361.2022.9956542

Emotion recognition in text using graph similarity criteria

Autoren: KOMAROVA, Nadezhda, NOVALIJA, Inna, GROBELNIK, Marko
Veröffentlicht in: Odkrivanje znanja in podatkovna skladišča - SiKDD = Data Mining and Data Warehouses - SiKDD : Informacijska družba - IS 2022 = Information Society - IS 2022 : zbornik 25. mednarodne multikonference = proceedings of the 25th International Multiconference, Ausgabe zvezek C = volume C, 2022, Seite(n) 5-8, ISBN 978-961-264-243-3
Herausgeber: Informacijska družba

Scent Mining: Extracting Olfactory Events, Smell Sources and Qualities

Autoren: Stefano Menini, Teresa Paccosi, Serra Sinem Tekiroğlu, Sara Tonelli
Veröffentlicht in: Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 2023, Seite(n) 135–140
Herausgeber: Association for Computational Linguistics

A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet

Autoren: Sindel, Aline; Maier, Andreas; Christlein, Vincent
Veröffentlicht in: Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
Herausgeber: Springer
DOI: 10.48550/arxiv.2208.08836

ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings

Autoren: Schmidt, Alexander and Madhu, Prathmesh and Maier, Andreas and Christlein, Vincent and Kosti, Rona
Veröffentlicht in: Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2022, Seite(n) 1-6
Herausgeber: IEEE
DOI: 10.1109/ipta54936.2022.9784144

Scent and Sensibility: Perception Shifts in the Olfactory Domain

Autoren: Teresa Paccosi, Stefano Menini, Elisa Leonardelli, Ilaria Barzon, Sara Tonelli
Veröffentlicht in: Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, 2023
Herausgeber: Association for Computational Linguistics

Sweete Flowers and Odoriferous Beds of Spice: Sensory Mining Techniques to Trace Olfactory Orientalism’.

Autoren: William Tullett, Stefano Menini and Inger Leemans
Veröffentlicht in: Proceedings of Digital Humanities Conference, 2022
Herausgeber: ADHO

Utiliser les connaissances du sens commun pour la découverte des topics intérpretables

Autoren: Ismael Harrando and Raphaël Troncy
Veröffentlicht in: 2022
Herausgeber: HAL

Smell and the Past: Noses, Archives, Narratives

Autoren: William Tullett
Veröffentlicht in: 2023, ISBN 9781350367524
Herausgeber: Bloomsbury Academic
DOI: 10.5040/9781350371811

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