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Heritage
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Cultural Heritage and New Technologies: NextGen Innovations in Preservation and...
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Cultural Heritage and New Technologies: NextGen Innovations in Preservation and Education

A special issue of Heritage (ISSN 2571-9408).

Deadline for manuscript submissions: closed (16 March 2025) | Viewed by 1444

Special Issue Editors

Prof. Dr. Piotr Kuroczyński

E-Mail Website
Guest Editor
Architecture Institute of the University of Applied Sciences Mainz, Mainz, Germany
Interests: culture heritage; heritage BIM; 3D visualisation; 3D documentation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fabrizio Ivan Apollonio

E-Mail Website
Guest Editor
Department of Architecture, Alma Mater Studiorum Universita di Bologna, Bologna, Italy
Interests: culture heritage; 3D visualisation; 3D hypothetical reconstruction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The special issue of MDPI Heritage, dedicated to the Cultural Heritage and New Technologies conferences held in Vienna in November 2024, encapsulates the forefront of innovation and paradigm shifts in the field of Cultural Heritage. This issue brings together the best papers presented at these conference, showcasing cutting-edge research and developments in the documentation, research, management, and education of Cultural Heritage.

In 2024, the Conference on Cultural Heritage and New Technologies (CHNT29) in Vienna celebrated the 60th anniversary of the Charter of Venice, a milestone in heritage conservation. The conference theme, "Cultural Heritage meets Innovation," emphasized the integration of cutting-edge technologies in the preservation, documentation, and dissemination of cultural heritage. This focus highlighted the importance of interdisciplinary collaboration and the adoption of innovative approaches to address contemporary challenges in the field.

The special issue aims to provide a comprehensive overview of the state-of-the-art technologies and methodologies that are shaping the field of Cultural Heritage. It presents a holistic view of how next-generation innovations and paradigm-shifting technologies are being applied to Cultural Heritage documentation, research, management, conservation, preservation and education. This collection of papers serves as a valuable resource for scholars, practitioners, and policymakers, offering insights and inspiration for the continued advancement of Cultural Heritage studies.

Prof. Dr. Piotr Kuroczyński
Prof. Dr. Fabrizio Ivan Apollonio
Guest Editors

Manuscript Submission Information

This is not an open call for submissions. The papers were selected subsequently after conference by the CHNT Scientific Committee. The nominated authors has to submit the manuscripts online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline (Sunday, 16.03.2025). All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. In addition the abstracts with the link to MDPI Special Issue will be published within the proceedings of the CHNT Conference in the propylaeum ebook series. 

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Heritage is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication of the selected papers by the scientific committee of the CHNT conference in this open access journal is free of charge to the invited authors. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Publisher's Notice

As stated above, the central purpose of this Special Issue is to present research from Cultural Heritage and New Technologies by ICOMOS Austria. Given this purpose, the Guest Editors’ contribution to this Special Issue may be greater than standard Special Issues published by MDPI. Further details on MDPI's Special Issue guidelines can be found here: https://www.mdpi.com/special_issues_guidelines. The Editorial Office and Editor-in-Chief of Heritage has approved this and MDPI’s standard manuscript editorial processing procedure (https://www.mdpi.com/editorial_process) will be applied to all submissions. As per our standard procedure, Guest Editors are excluded from participating in the editorial process for their submission and/or for submissions from persons with whom a potential conflict of interest may exist. More details on MDPI’s Conflict of Interest policy for reviewers and editors can be found here: https://www.mdpi.com/ethics#_bookmark22.

Keywords

  • celebrating the Charter of Venice’s 60 year anniversary
  • digitalisation or digitization for Preservation
  • benefits and dangers of artificial intelligence
  • digital heritage
  • long-term data storage
  • Cultural Heritage for All: User-Friendly and Barrier-Free
  • dissonant heritage
  • cultural landscape inventories
  • Storytelling
  • digital archaeology
  • integrated approaches to tangible and intangible heritage
  • resilient heritage
  • archiving

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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21 pages, 10971 KiB  
Article
A Deep Learning Approach to Assist in Pottery Reconstruction from Its Sherds
by Matheus Ferreira Coelho Pinho, Guilherme Lucio Abelha Mota and Gilson Alexandre Ostwald Pedro da Costa
Heritage 2025, 8(5), 167; https://doi.org/10.3390/heritage8050167 - 8 May 2025
Viewed by 129
Abstract
Pottery is one of the most common and abundant types of human remains found in archaeological contexts. The analysis of archaeological pottery involves the reconstruction of pottery vessels from their sherds, which represents a laborious and repetitive task. In this work, we investigate [...] Read more.
Pottery is one of the most common and abundant types of human remains found in archaeological contexts. The analysis of archaeological pottery involves the reconstruction of pottery vessels from their sherds, which represents a laborious and repetitive task. In this work, we investigate a deep learning-based approach to make that process more efficient, accurate, and fast. In that regard, given a sherd’s digital point cloud in a standard, so-called canonical position, the proposed method predicts the geometric transformation, which moves the sherd to its expected normalized position relative to the vessel’s coordinate system. Among the main components of the proposed method, a pair of deep 1D convolutional neural networks trained to predict the 3D Euclidean transformation parameters stands out. Herein, rotation and translation components are treated as independent problems, so while the first network is dedicated to predicting translation moments, the other infers the rotation parameters. In practical applications, once a vessel’s shape is identified, the networks can be trained to predict the target transformation parameter values. Thus, given a 3D model of a complete vessel, it may be virtually broken down countless times for the production of sufficient data to meet deep neural network training demands. In addition to overcoming the scarcity of real sherd data, given a virtual sherd in its original position, that procedure provides paired canonical and normalized point clouds, as well as the target Euclidean transformation. The herein proposed 1D convolutional neural network architecture, the so-called PotNet, was inspired by the PointNet architecture. While PointNet was motivated by 3D point cloud classification and segmentation applications, PotNet was designed to perform non-linear regressions. The method is able to provide an initial estimate for the correct position of a sherd, reducing the complexity of the problem of fitting candidate pairs of sherds, which could be then carried out by a classical adjustment method like ICP, for instance. Experiments using three distinct real vessels were carried out, and the reported results suggest that the proposed method can be successfully used for aiding pottery reconstruction. Full article
(This article belongs to the Special Issue Cultural Heritage and New Technologies: NextGen Innovations in Preservation and Education)
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20 pages, 4674 KiB  
Article
Point Cloud Segmentation Based on the Uniclass Classification System with Random Forest Algorithm for Cultural Heritage Buildings in the UK
by Aleksander Gil and Yusuf Arayici
Heritage 2025, 8(5), 147; https://doi.org/10.3390/heritage8050147 - 24 Apr 2025
Viewed by 195
Abstract
This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. By integrating the Uniclass classification system into a multi-resolution workflow, the research addresses key challenges in point cloud classification, [...] Read more.
This paper presents an advanced hierarchical classification framework using the Random Forest (RF) algorithm to segment and classify large-scale point clouds of heritage buildings. By integrating the Uniclass classification system into a multi-resolution workflow, the research addresses key challenges in point cloud classification, including class imbalance, computational constraints, and semantic overlap at coarse resolutions. It adopts an experimental research design using the heritage case study from Royal Greenwich Museum in the UK. The findings demonstrate that industry classification systems and data taxonomies can be aligned with machine learning workflows. This study contributes to Heritage-Building Information Modelling (HBIM) by proposing optimised hierarchical structures and scalable machine learning techniques. The research concludes with recommendations for future research, based on the performance of the Random Forest technique, particularly in further developing AI applications within HBIM. Full article
(This article belongs to the Special Issue Cultural Heritage and New Technologies: NextGen Innovations in Preservation and Education)
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11 pages, 5555 KiB  
Article
Surfaced—The Digital Pile Dwellings
by Fiona Leipold, Helena Seidl da Fonseca, Cyril Dworsky and Ronny Weßling
Heritage 2025, 8(5), 145; https://doi.org/10.3390/heritage8050145 - 23 Apr 2025
Viewed by 817
Abstract
Since 2011, five of Austria’s 29 known prehistoric pile dwellings have been part of the transnational UNESCO World Heritage Site “Prehistoric Pile Dwellings around the Alps”. These remarkable archaeological sites have been preserved for over 7000 years in lakes and moors. Due to [...] Read more.
Since 2011, five of Austria’s 29 known prehistoric pile dwellings have been part of the transnational UNESCO World Heritage Site “Prehistoric Pile Dwellings around the Alps”. These remarkable archaeological sites have been preserved for over 7000 years in lakes and moors. Due to their hidden location underwater or in the soil of bogs, the sites are inaccessible to the public, making it difficult to convey the full scope of this heritage. To address this, the national project “Surfaced—the digital pile dwellings” was launched, aiming to create a virtual bridge connecting the sites, collections, and exhibitions across Austria. It involved digitizing 500 objects, scanned in high resolution, and presenting them as 3D models in an open-access web application. The web application PfahlbauKompass allows users to explore these 3D models, view information about the artefacts and the sites, and create digital collections. It provides access to finds from national museums, regional heritage houses, and private collections. The project offers scientific potential as well as opportunities for virtual exhibitions and educational initiatives. It aims to preserve and visualize an essential part of Austria’s cultural heritage and was designed not only to archive finds but also to raise awareness of the hidden sites among the public. Full article
(This article belongs to the Special Issue Cultural Heritage and New Technologies: NextGen Innovations in Preservation and Education)
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