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Applied Sciences
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Advanced Technologies in Digitizing Cultural Heritage Volume II
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Advanced Technologies in Digitizing Cultural Heritage Volume II

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 4947

Special Issue Editors

Dr. Akrivi Katifori

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Guest Editor
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 84 Athens, Greece
Interests: interactive digital storytelling; virtual reality; digital heritage
Special Issues, Collections and Topics in MDPI journals
Dr. Angeliki Antoniou

E-Mail Website
Guest Editor
Department of Archival, Library and Information Studies, University of West Attica, 12243 Egaleo, Greece
Interests: cultural informatics; personalization; profiling
Special Issues, Collections and Topics in MDPI journals
Dr. Areti Damala

E-Mail Website
Guest Editor
CNRS (Centre National Scientifique de la Recherche) and ENS (Ecole Normale Supérieure), République des Savoirs (USR 3608), Paris, France
Interests: digital humanities; digital heritage; user experience; evaluation
Special Issues, Collections and Topics in MDPI journals
Dr. Paraskevi Raftopoulou

E-Mail Website
Guest Editor
Department of Informatics & Telecommunications, University of the Peloponnese, GR22131 Tripolis, Greece
Interests: distributed systems; social networks; big data; data management; data mining; information retrieval/filtering; databases; digital libraries
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

From cultural disasters, such as the fire damage at the Notre Dame de Paris in 2019 and the National Museum of Brazil in 2018, to the current COVID-19 pandemic, the need to digitize cultural heritage is essential. Past efforts, mainly in the frameworks of specific projects, focused on digitizing items and, in some cases, monuments. However, the rich repositories created are not often used in a meaningful manner, and their content is not returned to the public in a way that supports the understanding of, interpretation of and reflection on cultural heritage. Over the last few years, there have been some systematic efforts to allow the exploitation of such repositories, by applying methods for data curation and digitization in order to support the effective access to, exploration of, presentation of and preservation of millions of digital heritage assets (i.e., AIR principles).

However, the challenge remains within the domain to conceptualize, design and put into practice new applications that realize the potential for the substantive and meaningful use (and reuse) of digital assets. Advanced technologies need to be coupled with new concepts and experience design paradigms that will promote user engagement with the past through critical reflection and perspective taking, following an inclusive and personalized approach. Current advances in technologies (e.g., linked data, virtual/augmented/extended reality, chatbots and digital storytelling), when combined with fundamental technological fields, such as artificial intelligence and machine learning, create new opportunities to explore innovative technological solutions for the effective (re)use of digital cultural heritage assets. This Special Issue aims to spotlight cutting-edge research in technology-driven cultural heritage, as well as help in the alignment of these endeavors.

Dr. Akrivi Katifori
Dr. Angeliki Antoniou
Dr. Areti Damala
Dr. Paraskevi Raftopoulou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted 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. 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. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). 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.

Keywords

  • digital asset reuse
  • virtual reality
  • linked data
  • digital storytelling
  • data mining
  • artificial intelligence
  • machine learning
  • chatbots
  • augmented reality
  • mixed reality
  • data exploitation

Published Papers (5 papers)

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Research

21 pages, 29969 KiB  
Article
Framework for BIM-Based Repair History Management for Architectural Heritage
by Jong Jin Park, Kyeonghwan Kim, Seung-Yeul Ji and Han Jong Jun
Appl. Sci. 2024, 14(6), 2315; https://doi.org/10.3390/app14062315 - 09 Mar 2024
Viewed by 614
Abstract
This research addresses the challenges faced in collecting and managing repair history information for architectural heritage due to its distribution among different institutions. To overcome this problem, this study proposes a building information modeling (BIM)-based repair history management framework that links non-formal repair [...] Read more.
This research addresses the challenges faced in collecting and managing repair history information for architectural heritage due to its distribution among different institutions. To overcome this problem, this study proposes a building information modeling (BIM)-based repair history management framework that links non-formal repair details of architectural heritage to BIM. This framework was applied to the case study of the Great Hero Hall of Sudeoksa Temple in Yesan, South Korea. A repair history database in the form of structured data adhering to the historic building information modeling standard was utilized. The proposed framework effectively syncs the repair history database with BIM to preserve architectural heritage and streamline repair history information updates as well as management. Integrated heritage BIM is anticipated to furnish a thorough knowledge base for architectural heritage, comprising non-geometric details and formal information models, thus enhancing building maintenance planning. Ultimately, the benefits and limitations of the suggested framework and methodologies are deliberated for further implementation. Full article
(This article belongs to the Special Issue Advanced Technologies in Digitizing Cultural Heritage Volume II)
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17 pages, 3571 KiB  
Article
Thangka Image—Text Matching Based on Adaptive Pooling Layer and Improved Transformer
by Kaijie Wang, Tiejun Wang, Xiaoran Guo, Kui Xu and Jiao Wu
Appl. Sci. 2024, 14(2), 807; https://doi.org/10.3390/app14020807 - 17 Jan 2024
Viewed by 584
Abstract
Image–text matching is a research hotspot in the multimodal task of integrating image and text processing. In order to solve the difficult problem of associating image and text data in the multimodal knowledge graph of Thangka, we propose an image and text matching [...] Read more.
Image–text matching is a research hotspot in the multimodal task of integrating image and text processing. In order to solve the difficult problem of associating image and text data in the multimodal knowledge graph of Thangka, we propose an image and text matching method based on the Visual Semantic Embedding (VSE) model. The method introduces an adaptive pooling layer to improve the feature extraction capability of semantic associations between Thangka images and texts. We also improved the traditional Transformer architecture by combining bidirectional residual concatenation and mask attention mechanisms to improve the stability of the matching process and the ability to extract semantic information. In addition, we designed a multi-granularity tag alignment module that maps global and local features of images and text into a common coding space, leveraging inter- and intra-modal semantic associations to improve image and text accuracy. Comparative experiments on the Thangka dataset show that our method achieves significant improvements compared to the VSE baseline method. Specifically, our method improves the recall by 9.4% and 10.5% for image-matching text and text-matching images, respectively. Furthermore, without any large-scale corpus pre-training, our method outperforms all models without pre-training and outperforms two out of four pre-trained models on the Flickr30k public dataset. Also, the execution efficiency of our model is an order of magnitude higher than that of the pre-trained models, which highlights the superior performance and efficiency of our model in the image–text matching task. Full article
(This article belongs to the Special Issue Advanced Technologies in Digitizing Cultural Heritage Volume II)
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19 pages, 12838 KiB  
Article
Parametric Integration of Multiple Criteria from a Cultural Heritage Perspective
by Suzanne Segeur-Villanueva, Natalia Caicedo-Llano, Roberta Zarcone, Aly Abdelmagid and Nicolas Sabogal-Guachetá
Appl. Sci. 2023, 13(16), 9195; https://doi.org/10.3390/app13169195 - 12 Aug 2023
Viewed by 1055
Abstract
Parametric design is a versatile decision-making methodology that allows multi-criteria optimization. However, it is not as common for addressing aspects such as the cultural heritage of a given community. In this context, qualitative research proposes linking a cultural heritage classification with parametric design [...] Read more.
Parametric design is a versatile decision-making methodology that allows multi-criteria optimization. However, it is not as common for addressing aspects such as the cultural heritage of a given community. In this context, qualitative research proposes linking a cultural heritage classification with parametric design algorithms that include a stage of “design thinking” methodology, which culminates in community validation. This paper aims to demonstrate the potential of parametric and low-tech design as a multi-criteria decision strategy. Algorithms were developed with the mechanical properties of a given material, with meteorological information as input data, geometry as response, and with a simultaneously integrated multi-criteria decision-making process to improve the design. Most algorithms take as input variables such as size, function, or geometry and, as output, the structural material that best fits them, but not the opposite. This methodology was tested on a case study with the Misak community in Colombia, using Guadua (Guadua angustifolia), a subfamily of the bamboo, but which is little used. These criteria provided multiple design alternatives that were constantly debated to adjust and test the parameters of the prototype. The principal outcome is that an existing cultural heritage classification allows for the parametric model’s generalization ability. Full article
(This article belongs to the Special Issue Advanced Technologies in Digitizing Cultural Heritage Volume II)
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24 pages, 3519 KiB  
Article
Towards a Semantics-Based Recommendation System for Cultural Heritage Collections
by Jiayu Li and Antonis Bikakis
Appl. Sci. 2023, 13(15), 8907; https://doi.org/10.3390/app13158907 - 02 Aug 2023
Viewed by 1129
Abstract
While the use of semantic technologies is now commonplace in the cultural heritage sector and several semantically annotated cultural heritage datasets are publicly available, there are few examples of cultural portals that exploit these datasets and technologies to improve the experience of visitors [...] Read more.
While the use of semantic technologies is now commonplace in the cultural heritage sector and several semantically annotated cultural heritage datasets are publicly available, there are few examples of cultural portals that exploit these datasets and technologies to improve the experience of visitors to their online collections. Aiming to address this gap, this paper explores methods for semantics-based recommendations aimed at visitors to cultural portals who want to explore online collections. The proposed methods exploit the rich semantic metadata in a cultural heritage dataset and the capabilities of a graph database system to improve the accuracy of searches through the collection and the quality of the recommendations provided to the user. The methods were developed and tested with the Archive of the Art Textbooks of Elementary and Public Schools in the Japanese Colonial Period. However, they can easily be adapted to any cultural heritage collection dataset modelled in RDF. Full article
(This article belongs to the Special Issue Advanced Technologies in Digitizing Cultural Heritage Volume II)
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17 pages, 7855 KiB  
Article
Utilizing Stereography to Compare Cultural Heritage in the Past and Now: An Interactive AR Application
by Cecilia Maria Bolognesi, Daniele Sorrenti and Deida Bassorizzi
Appl. Sci. 2023, 13(15), 8773; https://doi.org/10.3390/app13158773 - 29 Jul 2023
Viewed by 714
Abstract
Due to the astonishing speed in technological progress for new heterogeneous experiences, the Mixed Reality continuum represents nowadays an invaluable tool for cultural heritage applications, and the possibility of seemingly natural interaction with virtual elements is paving the way for more immerse, ve [...] Read more.
Due to the astonishing speed in technological progress for new heterogeneous experiences, the Mixed Reality continuum represents nowadays an invaluable tool for cultural heritage applications, and the possibility of seemingly natural interaction with virtual elements is paving the way for more immerse, ve and deeply enjoyable experiences, both in dedicated spaces, such as museums and exhibitions, and in public spaces via the latest mobile AR technologies. This paper illustrates the complete workflow followed for the design and implementation of an Augmented Reality application on a holographic table, along with critical latency-quality tradeoffs encountered when combining both high-fidelity surveys and latency-sensibility devices and experiences. A workaround is provided in order to mitigate the impact of low-importance models on the overall latency utilizing a software toolchain employing Google Maps/Earth web applications; each software comprises the toolchain Free and Open-Source Software (FOSS) for a more adaptive workaround with a wider range of suitable applications. The application is then tested with the students of LaborA, which is the modeling laboratory of “Politecnico di Milano”. Full article
(This article belongs to the Special Issue Advanced Technologies in Digitizing Cultural Heritage Volume II)
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