Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings

Emma L. Tonkin; Gregory Tourte; Kristina Y. Yordanova

Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings

Emma L. Tonkin
, Gregory Tourte (Editor)
, Kristina Y. Yordanova

School of Engineering Mathematics and Technology

Research output: Book/Report › Edited book

Abstract

This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25–26, 2025.

The 11 full papers included in this book were carefully reviewed and selected from 16 submissions. These papers have been categorized into the following themes: Automating Ergonomics: Scalable AI for Technical Hand Grip Classification; Activity Recognition; Annotation of Textual Data; Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.

Original language	English
Publisher	Springer
Number of pages	192
Volume	2706
Publication status	Accepted/In press - 31 Oct 2025

Keywords

active learning
annotation frameworks
annotation methodologies
annotation scheme
annotation tools
corpus creation
data annotation
dataset creating
large language models
machine learning
natural language processing
ontology
privacy-first engineering
prompt engineering
synthetic data
taxonomy
time series data
vision language models

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Cite this

@book{b514c2da34d94f7492c4fd3d9732164b,

title = "Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings",

abstract = "This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25–26, 2025. The 11 full papers included in this book were carefully reviewed and selected from 16 submissions. These papers have been categorized into the following themes: Automating Ergonomics: Scalable AI for Technical Hand Grip Classification; Activity Recognition; Annotation of Textual Data; Relation Extraction from Real-World Unstructured Text in the Domain of Dementia. ",

keywords = "active learning, annotation frameworks, annotation methodologies, annotation scheme, annotation tools, corpus creation, data annotation, dataset creating, large language models, machine learning, natural language processing, ontology, privacy-first engineering, prompt engineering, synthetic data, taxonomy, time series data, vision language models",

author = "Tonkin, \{Emma L.\} and Yordanova, \{Kristina Y.\}",

editor = "Gregory Tourte",

year = "2025",

month = oct,

day = "31",

language = "English",

volume = "2706",

publisher = "Springer",

address = "United States",

}

TY - BOOK

T1 - Annotation of Real-World Data for Artificial Intelligence Systems

T2 - 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings

AU - Tonkin, Emma L.

AU - Yordanova, Kristina Y.

A2 - Tourte, Gregory

PY - 2025/10/31

Y1 - 2025/10/31

N2 - This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25–26, 2025. The 11 full papers included in this book were carefully reviewed and selected from 16 submissions. These papers have been categorized into the following themes: Automating Ergonomics: Scalable AI for Technical Hand Grip Classification; Activity Recognition; Annotation of Textual Data; Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.

AB - This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25–26, 2025. The 11 full papers included in this book were carefully reviewed and selected from 16 submissions. These papers have been categorized into the following themes: Automating Ergonomics: Scalable AI for Technical Hand Grip Classification; Activity Recognition; Annotation of Textual Data; Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.

KW - active learning

KW - annotation frameworks

KW - annotation methodologies

KW - annotation scheme

KW - annotation tools

KW - corpus creation

KW - data annotation

KW - dataset creating

KW - large language models

KW - machine learning

KW - natural language processing

KW - ontology

KW - privacy-first engineering

KW - prompt engineering

KW - synthetic data

KW - taxonomy

KW - time series data

KW - vision language models

UR - https://link.springer.com/book/9783032091161

M3 - Edited book

VL - 2706

BT - Annotation of Real-World Data for Artificial Intelligence Systems

PB - Springer

ER -

Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings

Abstract

Keywords

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Transforming the Objective Real-world measUrement of Symptoms (TORUS)

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Annotation of Real-World Data for Artificial Intelligence Systems: 9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings

Abstract

Keywords

Handle.net

Other files and links

Fingerprint

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Transforming the Objective Real-world measUrement of Symptoms (TORUS)

Cite this