CH&BD
1st Workshop on Cultural Heritage & BigData: Opportunities and Challenges
CH&BD
1st Workshop on Cultural Heritage & BigData: Opportunities and Challenges
urly.it/312_yh
Meeting ID: 392 903 593 631
Passcode: ov6zC3Bk
Please find the schedule in the bottom of the page
2024 IEEE International Conference on Big Data (IEEE BigData2024)
http://bigdataieee.org/BigData2024/
15-18, December 2024, Washington DC, USA
Organizers :
Tommaso Ruga, DIMES - University of Calabria, Italy, tommaso.ruga@dimes.unical.it
Eugenio Vocaturo, CNR Nanotec, Italy, eugenio.vocaturo@cnr.it
Ester Zumpano, DIMES - University of Calabria, Italy, e.zumpano@dimes.unical.it
Workshop style: online
Context
Cultural heritage involves dealing with vast amounts of data, where understanding the significance of the data is particularly crucial, especially when it pertains to people's opinions, perceptions, interpretations of the past and present, or their emotions, preferences, and attitudes. In the cultural heritage domain, the application of Artificial Intelligence is playing an increasingly significant role in supporting promotion and research activities. The advent of digital technologies has paved the way for the application of AI for the development of new tools and monitoring systems for the study, conservation, and accessibility of cultural heritage. This has improved our understanding of the past and the ability to preserve and transmit it to new generations, bridging the gap between heritage and the public and allowing heritage to play a role as a driver of cultural and social progress.
This Workshop focuses on analytics methods and tools tailored for cultural heritage, as well as experiences from adapting or applying general-purpose solutions to this domain. The goal is to collect solutions, lessons learned, methodologies, and best practices that researchers and practitioners can draw upon for their work in this field.
The workshop aims to foster collaboration among researchers from various disciplines, presenting and exchanging ideas and progress related to the use of Big Data, Internet of Things, Social Media, and Artificial Intelligence in the field of management, conservation, and fruition of cultural heritage. The goal is to engage professionals in the information and technology management sector, discussing innovative technologies and end-to-end solutions to address challenges in the field of interest. CH&BD will encourage discussions on ethical aspects and sustainability issues in the management, delivery, and conservation of cultural heritage. It will focus on engaging diverse perspectives and communities involved in various capacities in the conservation of cultural heritage.
Research topics
Topics of interest include, but are not limited to:
· Digital preservation strategies for cultural artifacts and historical documents.
· Automated methods for digitizing and cataloging cultural heritage materials.
· Big data analytics for uncovering patterns and trends in cultural heritage data.
· Semantic web technologies for organizing and linking cultural heritage information.
· Machine learning algorithms for content analysis and classification of cultural heritage data.
· Data visualization techniques for presenting complex cultural heritage datasets.
· Crowd-sourcing and citizen science approaches for collecting and annotating cultural heritage data.
· Ethics and privacy considerations in the collection and use of big data in cultural heritage.
· Linked open data initiatives and standards for sharing cultural heritage information.
· Preservation and access challenges in managing large-scale digital cultural heritage collections.
· Natural language processing methods for analyzing textual cultural heritage data.
· Digital storytelling and narrative techniques for engaging with cultural heritage through big data.
· Augmented reality and virtual reality applications for immersive exploration of cultural heritage datasets.
· Computational methods for studying cultural diffusion and transmission through historical data.
· Collaborative platforms and digital archives for sharing and curating cultural heritage resources.
Important Dates
Oct 30, 2024: Due date for full workshop papers submission
Nov 6, 2024: Notification of paper acceptance to authors
Nov 20, 2024: Camera-ready of accepted papers
Dec 15-18, 2024: Workshop
Paper Submission
Authors are invited to submit full papers (maximal 10 pages) or short papers (maximal 6 pages) with references included in the IEEE 2-column format.
Templates for LaTex, Word and PDF can be found at
(https://www.ieee.org/conferences/publishing/templates.html).
All papers must be submitted via the conference submission system for the workshop at:
https://wi-lab.com/cyberchair/2024/bigdata24/scripts/submit.php?subarea=S33
At least one author of each accepted paper is required to attend the workshop virtually and present the paper. All the accepted papers by the workshops will be included in the Proceedings of the IEEE Big Data 2024 Conference (IEEE BigData 2024) which will be published by IEEE Computer Society.
Program Chairs
Tommaso Ruga, DIMES - University of Calabria, Italy, tommaso.ruga@dimes.unical.it
Eugenio Vocaturo, CNR Nanotec, Italy, eugenio.vocaturo@cnr.it
Ester Zumpano, DIMES - University of Calabria, Italy, e.zumpano@dimes.unical.it
Program Committee Members (tentative)
Agostino Forestiero, ICAR-CNR, Italy (agostino.forestiero@cnr.it)
Alfredo Mazzulla, CNR Nanotec, Italy (alfredo.mazzulla@cnr.it)
Eugenio Vocaturo, CNR Nanotec, Italy (eugenio.vocaturo@cnr.it)
Geeta Rani, Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India (geeta.rani@jaipur.manipal.edu)
Luciano Caroprese, InGeo, University “G. d’Annunzio” of Chieti-Pescara (luciano.caroprese@unich.it)
Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France (roberto.interdonato@cirad.fr)
Ester Zumpano, DIMES, University of Calabria (e.zumpano@dimes.unical.it)
Vijaypal Singh Dhaka, Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India (vijaypalsingh.dhaka@jaipur.manipal.edu)
Luigi Pontieri, ICAR-CNR, Italy (luigi.pontieri@cnr.it)
Oscar Tamburis, Università degli Studi di Napoli Federico II (oscar.tamburis@unina.it)
Tommaso Ruga, DIMES, University of Calabria (tommaso.ruga@dimes.unical.it)
Francesco Lamonaca, DIMES, University of Calabria (f.lamonaca@dimes.unical.it)
Steering Committee Members
Tommaso Ruga, DIMES - University of Calabria, Italy, tommaso.ruga@dimes.unical.it
Eugenio Vocaturo, CNR Nanotec, Italy, eugenio.vocaturo@cnr.it
Ester Zumpano, DIMES - University of Calabria, Italy, e.zumpano@dimes.unical.it
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SCHEDULE
8:40: Workshop Introduction
Session 1: AIPREF(AIPowered Renewable Energy Forecasting: Techniques and Challenges), Chair: Luciano Caroprese
08:45-9:00
S30201, Effective Net Load Forecasting in Solar-Integrated Homes with Battery Systems, Stefano Cabiddu, Manuela Sanguinetti, Alessandro De Falco, Giulia Manca, and Maurizio Atzori,
09:00-9:15
S30202, Comparing Artificial Intelligence Techniques for Predicting Energy Consumption and Renewable Energy Production, Behzad Pirouz and Francesca Guerriero,
9:15 – 9:30
S30203, On the use of Machine Learning to Discover Novel Donor-Acceptor Pairs For Organic Photovoltaic Devices, Khoukha KHOUSSA, Patrick LEVEQUE, and Larbi Boubchir,
9:30 – 9:45
S30204, DEVELOPMENT OF A MACHINE LEARNING ALGORITHM TO FORECAST PV PLANT PRODUCTION, Nicola Sorrentino, Daniele Menniti, Giovanni Brusco, and Giovanni Schinelli,
9:45 – 10:00
S30205, PRECEDE: Climate and Energy Forecasts to Support Energy Communities with Deep Learning models, Francesco Dattola, Pasquale Iaquinta, Miriam Iusi, Deborah Federico, Raffaele Greco, Marco Talerico, Valentina Coscarella, Luca Legato, Ivana Pellegrino, Sonia Bergamaschi, Mirko Orsini, Riccardo Martoglia, Andrea Livaldi, Abeer Jelali, Simone Sbregia, Tommaso Ruga, Ester Zumpano, Luciano Caroprese, Camilla Lops, Sergio Montelpare, Mariano Pierantozzi, and Maira Aracne
10:00-10:30, Coffee Break
Session 2: AIDA (AI-Driven Agriculture: opportunities and challenges), Chair: Eugenio Vocaturo
10:30 – 10:45
S32201, A study on phenotype prediction using an artificial intelligence-based data augmentation approach, Jiho Choi, Sung-Woo Byun, Najeong Chae, Ji Hoon Lim, Taehoon Lim, Hye In Lee, and Hwa Seon Shin,
10:45 – 11:00
S32202, Forest fire prevention: Application of mathematical models for the realization of an IoT based monitoring system., Carmelo Scuro, Giuseppe Alì, Pierpaolo Antonio Fusaro, and Salvatore Nisticò,
11:00 – 11:15
S32203, Boosting Agricultural Diagnostics: Cassava Disease Detection with Transfer Learning and Explainable AI, Danilo Maurmo, Marco Gagliardi, Tommaso Ruga, Ester Zumpano, and Eugenio Vocaturo,
11:15 – 11:30
S32205, Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning, Maurice Günder, Facundo Ramón Ispizua Yamati, Anne-Katrin Mahlein, and Christian Bauckhage,
11:15 – 11:30
S32206, An AI-Driven Architecture for Precision Agriculture: IoT, Machine Learning, and Digital Twin Integration for Sustainable Crop Protection, Gianni Costa, Agostino Forestiero, Riccardo Ortale, Antonio Francesco Gentile, Davide Macri, Bruno Bernardi, and Emanuele Cerruto,
Session 3: CH&BD (AI-Driven Agriculture: opportunities and challenges), Chair: Tommaso Ruga
11:30 – 11:45
S33201, AI Image-based systems for enhancing the cultural tourism experience, Fiorella Folino, Tommaso Ruga, Ester Zumpano, Danilo Maurmo, Maria Francesca Foresta, and Eugenio Vocaturo,
11:45 – 12:00
BigD603, Foundation Models for Big Data, Kranthi Godavarthi, JAYANNA HALLUR, and SUJAN DAS,
Closing Remarks