Latest recommendations
Id▲ | Title * | Authors * | Abstract * | Picture * | Thematic fields * | Recommender | Reviewers | Submission date | |
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24 Jan 2024
Social Network Analysis, Community Detection Algorithms, and Neighbourhood Identification in PompeiiNotarian, Matthew https://doi.org/10.5281/zenodo.8305968A Valuable Contribution to Archaeological Network Research: A Case Study of PompeiiRecommended by David Laguna-Palma based on reviews by Matthew Peeples, Isaac Ullah and Philip VerhagenThe paper entitled 'Social Network Analysis, Community Detection Algorithms, and Neighbourhood Identification in Pompeii' [1] presents a significant contribution to the field of archaeological network research, particularly in the challenging task of identifying urban neighborhoods within the context of Pompeii. This study focuses on the relational dynamics within urban neighborhoods and examines their indistinct boundaries through advanced analytical methods. The methodology employed provides a comprehensive analysis of community detection, including the Louvain and Leiden algorithms, and introduces a novel Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm. The incorporation of a network approach into this domain is both innovative and timely. The potential impact of this research is substantial, offering new perspectives and analytical tools. This opens new avenues for understanding social structures in ancient urban settings, which can be applied to other archaeological contexts beyond Pompeii. Moreover, the manuscript is not only methodologically solid but also well-written and structured, making complex concepts accessible to a broad audience. In conclusion, this study represents a valuable contribution to the field of archaeology, particularly for archaeological network research. Their results not only enhance our knowledge of Pompeii but also provide a robust framework for future studies in similar historical contexts. Therefore, this publication advances our understanding of social dynamics in historical urban environments. The rigorous analysis, combined with the innovative application of network algorithms, makes this study a noteworthy addition to the existing body of network science literature. It is recommended for a wide range of scholars interested in the intersection of archaeology, history, and network science. Reference [1] Notarian, Matthew. 2024. Social Network Analysis, Community Detection Algorithms, and Neighbourhood Identification in Pompeii. https://doi.org/10.5281/zenodo.8305968 | Social Network Analysis, Community Detection Algorithms, and Neighbourhood Identification in Pompeii | Notarian, Matthew | <p>The definition and identification of urban neighbourhoods in archaeological contexts remain complex and problematic, both theoretically and empirically. As constructs with both social and spatial characteristics, their detection through materia... | Antiquity, Classic, Computational archaeology, Mediterranean | David Laguna-Palma | 2023-08-31 19:28:35 | View | ||
29 Apr 2024
Study and enhancement of the heritage value of a fortified settlement along the Limes Arabicus. Umm ar-Rasas (Amman, Jordan) between remote sensing analysis, photogrammetry and laser scanner surveys.Di Palma Francesca, Gabrielli Roberto, Merola Pasquale, Miccoli Ilaria, Scardozzi Giuseppe https://doi.org/10.5281/zenodo.8306381Integrating remote sensing and photogrammetric approaches to studying a fortified settlement along the Limes Arabicus: Umm ar‐Rasas (Amman, Jordan).Recommended by Alessia Brucato based on reviews by Francesc C. Conesa, Giuseppe Ceraudo and 1 anonymous reviewerDi Palma et alii manuscript delves into applying remote sensing and photogrammetry methods to document and analyze the castrum at the Umm er-Rasas site in Jordan. This research aimed to map all the known archaeological evidence, detect new historical structures, and create a digital archive of the site's features for study and education purposes [1]. Their research has been organized into two phases. The first one consisted of a remote sensing survey and involved collecting historical and modern aerial and satellite imagery, such as: aerial photographs by Sir Marc Aurel Stein from 1939; panchromatic spy satellite images from the Cold War period (Corona KH-4B and Hexagon KH-9); high and very high resolution (HR and VHR) modern multispectral satellite images (Pléiades-1A and Pléiades Neo-4) [1]. This dataset was processed using the ENVI 4.4 software and applying multiple image-enhancing techniques (Pansharpening, RGB composite, data fusion, and Principal Component Analysis). Then, the resulting images were integrated into a QGIS project, allowing for visual analyses of the site's features and terrain. These investigations provided: · a broad overview of the site, · the discovery of a previously unknown archaeological feature (the northeastern dam), · a stage for targeted ground-level investigations [1]. The project's second phase was dedicated to intensive fieldwork operations, including pedestrian surveys, stratigraphic excavations, and photogrammetric recordings, such as: photographic reconstructions via Structure from Motion (SfM) and laser scanner sessions (using two FARO X330 HDR). In particular, the laser scanner data were processed with Reconstructor 4.4, which provided highly detailed 3D models for the QGIS database. These results were crucial in validating the information acquired during the first phase. Overall, the paper is well written, with clear objectives and a systematic presentation of the site [2,3,10,11], the research materials, and the study phases. The dataset was described in meticulous detail (especially the remote sensing sources and the laser scanner recordings). The methods implemented in this study are rigorously described [4,5,6,7,8,9] and show a high level of integration between aerial and field techniques. The results are neatly illustrated and fit into the current debates about the efficacy of remote sensing detection and multiscale approaches in archaeological research. In conclusion, this manuscript significantly contributes to archaeological research, unveiling new and exciting findings about the site of Umm er-Rasas. Its findings and methodologies warrant publication and further exploration. References: 1. Di Palma, F., Gabrielli, R., Merola, P., Miccoli, I. and Scardozzi, G. (2024). Study and enhancement of the heritage value of a fortified settlement along the Limes Arabicus. Umm ar-Rasas (Amman, Jordan) between remote sensing analysis, photogrammetry and laser scanner surveys. Zenodo, 8306381, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8306381 2. Abela J. and Acconci A. (1997), Umm al‐Rasas Kastron Mefa’a. Excavation Campaign 1997. Church of St. Paul: northern and southern flanks. Liber Annus, 47, 484‐488. 3. Bujard J. (2008), Kastron Mefaa, un bourg à l'époque byzantine: Travaux de la Mission archéologique de la Fondation Max van Berchem à Umm al‐Rasas, Jordanie (1988‐1997), PhD diss., University of Fribourg 2008. 4. Cozzolino M., Gabrielli R., Galatà P., Gentile V., Greco G., Scopinaro E. (2019), Combined use of 3D metric surveys and non‐invasive geophysical surveys at the stylite tower (Umm ar‐Rasas, Jordan), Annals of geophysics, 62, 3, 1‐9. http://dx.doi.org/10.4401/ag‐8060 5. Gabrielli R., Salvatori A., Lazzari A., Portarena D. (2016), Il sito di Umm ar‐Rasas – Kastron Mefaa – Giordania. Scavare documentare conservare, viaggio nella ricerca archeologica del CNR. Roma 2016, 236‐240. 6. Gabrielli R., Portarena D., Franceschinis M. (2017), Tecniche di documentazione dei tappeti musivi del sito archeologico di Umm al‐Rasas Kastron Mefaa (Giordania). Archeologia e calcolatori, 28 (1), 201‐218. https://doi.org/10.19282/AC.28.1.2017.12 7. Lasaponara R., Masini N. (2012 ed.), Satellite Remote Sensing: A New Tool for Archaeology, New York 2012. 8. Lasaponara R., Masini N. and Scardozzi G. (2007), Immagini satellitari ad alta risoluzione e ricerca archeologica: applicazioni e casi di studio con riprese pancromatiche e multispettrali di QuickBird. Archeologia e Calcolatori, 18 (2), 187‐227. https://core.ac.uk/download/pdf/33150351.pdf 9. Lasaponara R., Masini N., Scardozzi G. (2010), Elaborazioni di immagini satellitari ad alta risoluzione e ricognizione archeologica per la conoscenza degli insediamenti rurali del territorio di Hierapolis di Frigia (Turchia). Il dialogo dei Saperi – Metodologie integrate per i Beni Culturali, Edizioni scientifiche italiane, 479‐494. 10. Piccirillo M., Abela J. and Pappalardo C. (2007), Umm al‐Rasas ‐ campagna 2007. Rapporto di scavo. Liber Annus, 57, 660‐668. 11. Poidebard A. (1934), La trace de Rome dans le désert de Syrie : le limes de Trajan à la conquête arabe ; recherches aériennes 1925 – 1932. Paris : Geuthner. | Study and enhancement of the heritage value of a fortified settlement along the Limes Arabicus. Umm ar-Rasas (Amman, Jordan) between remote sensing analysis, photogrammetry and laser scanner surveys. | Di Palma Francesca, Gabrielli Roberto, Merola Pasquale, Miccoli Ilaria, Scardozzi Giuseppe | <p>The Limes Arabicus is an excellent laboratory for experimenting with the huge potential of historical remote sensing data for identifying and mapping fortified centres along this sector of the eastern frontier of the Roman Empire and then the B... | Antiquity, Asia, Classic, Landscape archaeology, Mediterranean, Remote sensing, Spatial analysis | Alessia Brucato | 2023-08-31 23:34:16 | View | ||
02 May 2024
Machine Learning for UAV and Ground-Captured Imagery: Toward Standard PracticesSharp Kayeleigh, Christofis Brooklyn, Eslamiat Hossein, Nepal Upesh, Osores Mendives Carlos https://doi.org/10.5281/zenodo.8307612A step forward in detecting small objects in UAV data for archaeological surveyingRecommended by Alex Brandsen based on reviews by 2 anonymous reviewersIn this paper [1], the authors describe how they apply machine learning with YOLOv5 to classify visual data, aiming to enhance understanding of archaeological phenomena before conducting destructive fieldwork. Despite challenges, the integration of machine learning with remote sensing technology was seen as transformative, enabling precise recording of areas of interest and assessment of environmental risk factors. The paper discusses successes, failures, and future directions in machine learning research, emphasising the need for standardisation and integration of streamlined methods. The application of machine learning techniques facilitates non-destructive analysis of material culture records, improving conservation efforts and offering insights into both past and contemporary phenomena. While the initial use of YOLOv5 showed potential for consistent detection of archaeological features, further refinement and dataset enlargement are deemed necessary for broader application in non-destructive archaeological surveying. The authors advocate for the integration of machine learning tools in archaeological research to save time, resources, and promote ethical digital recording practices. They highlight the importance of standardised methodologies to enhance credibility and reproducibility, aiming to contribute to the ongoing dialogue in computational archaeology. Overall, I think this paper is a good step forward in detecting small objects in UAV data, and contains useful information for similar studies. The aim towards greater reproducibility and standardisation is of course shared more widely in the machine learning community, and this study is a good example of how to approach this. References [1] Sharp, K., Christofis, B., Eslamiat, H., Nepal, U. and Osores Mendives, C. (2024). Machine Learning for UAV and Ground-Captured Imagery: Toward Standard Practices. Zenodo, 8307612, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8307612 | Machine Learning for UAV and Ground-Captured Imagery: Toward Standard Practices | Sharp Kayeleigh, Christofis Brooklyn, Eslamiat Hossein, Nepal Upesh, Osores Mendives Carlos | <p>Our collaborative work began in 2019 with the intent to overcome obstacles that had arisen from the inability to access curated artifact collections from remote locations. It was our specific aim to not only create digital twins of excavated ob... | Ceramics, Computational archaeology, Remote sensing, South America | Alex Brandsen | 2023-09-01 09:56:18 | View | ||
02 Apr 2024
The Ashwell Project: Creating an Online Geospatial CommunityAlphaeus Lien-Talks https://doi.org/10.5281/zenodo.8307882A nice project looking at under-represented demographicRecommended by Alexis Pantos based on reviews by Catriona Cooper and Steinar KristensenThe paper by A. Lien-Talks [1] presents a small project looking at the use of crowd sourced data collection and particpatory GIS. In particular it looks at the potential of these tools in response to socially disruptive and isolating events such as the COVID-19 pandemic as well as the potential role of digitially mediated heritage initiatives in tackling some of the challenges of changing demographics and life styles. The types of technologies employed are relatively mature, the project identifies potential for such approaches to be used within the local-history/local community settings, though is also a reminer that depsite the much broader adoption of technology within all areas of society than even a few years ago many barriers still remain. While the the sample size and data collected in the project is relatively modest, the focus on empathy toward the intended audiences from the design process, as well as some of the qualitative feedback reported serve as a reminder that participatory, or crowd-sourced data collection initiatives in heritage can, and perhaps should place potential social benefit before data-acquisition of objectives. The project also presents a demographic that is not often represented within the literature and the publication and as such the publication of the article represents a meaningful contribution to ongoing discussions of the role heritage and digitally mediated community archaeology can play a role in developing our societies. References [1] Lien-Talks, A. (2024). The Ashwell Project: Creating an Online Geospatial Community. Zenodo, 8307882, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8307882 | The Ashwell Project: Creating an Online Geospatial Community | Alphaeus Lien-Talks | <p>Background:<br>As the world becomes increasingly digital, so too must the way in which archaeologists engage with the public. This was particularly important during the COVID-19 pandemic, and many outreach and engagement efforts began to move o... | Computational archaeology | Alexis Pantos | 2023-09-01 11:25:54 | View | ||
03 Feb 2024
Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern CroatiaSosic Klindzic Rajna; Vuković Miroslav; Kalafatić Hrvoje; Šiljeg Bartul https://doi.org/10.5281/zenodo.7970703What lies on top lies also beneath? Connecting crop surface modelling to buried archaeology mapping.Recommended by Markos Katsianis based on reviews by Ian Moffat and Geert VerhoevenThis paper (Sosic et al. 2024) explores the Neolithic landscape of the Sopot culture in Đakovština, Eastern Slavonija, revealing a network of settlements through a multi-faceted approach that combines aerial archaeology, magnetometry, excavation, and field survey. This strategy facilitates scalable research tailored to the particularities of each site and allows for improved representations of buried archaeology with minimal intrusion. Using the site of Tomašanci-Dubrava as an example of the overall approach, the study further explores the use of drone imagery for 3D surface modeling, revealing a consistent correlation between crop surface elevation during full plant growth and ground terrain after ploughing, attributed to subsurface archaeological features. Results are correlated with magnetic survey and test-pitting data to validate the micro-topography and clarify the relationship between different subsurface structures. The results obtained are presented in a comprehensive way, including their source data, and are contextualized in relation to conventional cropmark detection approaches and expectations. I found this aspect very interesting, since the crop surface and terrain models contradict typical or textbook examples of cropmark detection, where the vegetation is projected to appear higher in ditches and lower in areas with buried archaeology (Renfrew & Bahn 2016, 82). Regardless, the findings suggest the potential for broader applications of crop surface or canopy height modelling in landscape wide surveys, utilizing ALS data or aerial photographs. It seems then that the authors make a valid argument for a layered approach in landscape-based site detection, where aerial imagery can be used to accurately map the topography of areas of interest, which can then be further examined at site scale using more demanding methods, such as geophysical survey and excavation. This scalability enhances the research's relevance in broader archaeological and geographical contexts and renders it a useful example in site detection and landscape-scale mapping. References Renfrew, C. and Bahn, P. (2016). Archaeology: theories, methods and practice. Thames and Hudson. Sosic Klindzic, R., Vuković, M., Kalafatić, H. and Šiljeg, B. (2024). Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia, Zenodo, 7970703, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7970703 | Digital surface models of crops used in archaeological feature detection – a case study of Late Neolithic site Tomašanci-Dubrava in Eastern Croatia | Sosic Klindzic Rajna; Vuković Miroslav; Kalafatić Hrvoje; Šiljeg Bartul | <p>This paper presents the results of a study on the neolithic landscape of the Sopot culture in the area of Đakovština in Eastern Slavonija. A vast network of settlements was uncovered using aerial archaeology, which was further confirmed and chr... | Landscape archaeology, Neolithic, Remote sensing, Spatial analysis | Markos Katsianis | 2023-09-01 12:57:04 | View | ||
09 Sep 2024
The Games of our People. Analysing Populist Nationalist Rhetorics of the Past in Historical GamesMarvin M. Visonà , Vincenzo Idone Cassone https://doi.org/10.5281/zenodo.8309653A framework for the analysis of populist nationalist rhetorics in historical gamesRecommended by Sebastian Hageneuer based on reviews by Angus Mol, Aris Politopoulos and 1 anonymous reviewerThis paper by Visonà and Cassone (2024) looks on historic video games and populist national rhetoric of the past with the goal of understanding the political implications of historical games today. Based on the works of Chapman et al. (2017) and Reinhard (2018), the paper focuses on political rhetoric and the possibility to provide forms of friction or alternative historical experiences. The paper wants to present an analytical framework to investigate these possibilities in video games and is structured into four parts. Part 1 (history and digital games) gives a short introduction into the topic of archaeogaming and the development in researching different aspects of video games. It also briefly introduces into the mechanics of knowledge transfer (see also Giere 2019). Part 2 (populist nationalism and the construction of the past) explains the dynamics of populist nationalism of the past and how these same mechanisms are on the rise again today. This makes this paper extremely relevant to today's political situation. Populist movements try to construct a past to form identity, a past that never really existed. These movements then use these identities to justify their political goals.Part 3 (analytical framework) describes the authors framework for analysis. It is structured into a matrix of three dimensions (Identitarian mythopoesis, Unavoidable conflict, Western teleology) by three procedures (Perspective, Connection, Selection), each with distinct questions to ask and answer for the researched video game. Part 4 (implementation) finally discusses how the framework works and presents some practical examples with the help of the games Assassin’s Creed III and Civilization V. The conclusions summarize the paper once more very briefly. The proposed framework is a very welcome tool in reflecting on video games in terms of the political dimensions represented. The matrix provided can give a hint on what questions to ask and how to analyze the answers. Nevertheless, a little more explanation on how to work with these questions might be helpful, especially for students wanting to utilize this matrix. The two provided examples help a lot, but it might not be clear to everyone how to use the framework. If one does however, this framework can help tremendously in video game analysis with a political focus. This is especially important today with raising populist narratives all over the world. This paper presents a very good starting point on an analytical framework for the analysis of historical video games. References Chapman, A., Foka, A., and Westin, J. (2017) Introduction: what is historical game studies? 499 Rethinking History, 21(3), 358-371. https://doi.org/10.1080/13642529.2016.1256638 Giere, D. (2019) Computerspiele - Medienbildung - historisches Lernen. Zu Repräsentation und Rezeption von Geschichte in digitalen Spielen. Forum historisches Lernen. Frankfurt am Main: Wochenschau. Reinhard, A. (2018) Archaeogaming - An Introduction to Archaeology in and of Video Games. New York - Oxford: Berghahn. Visonà, M. M. and Idone Cassone, V. (2024) The Games of our People. Analysing Populist Nationalist Rhetorics of the Past in Historical Games. Zenodo, ver.5 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.8309653 | The Games of our People. Analysing Populist Nationalist Rhetorics of the Past in Historical Games | Marvin M. Visonà , Vincenzo Idone Cassone | <p>Populist Nationalist movements have been using social media and popular culture as a way to diffuse their rhetorics, by reinterpreting TV series, movies and video games through discourses aiming to seek legitimacy in the history and the past.<b... | Theoretical archaeology | Sebastian Hageneuer | 2023-09-01 18:33:50 | View | ||
22 Apr 2024
The transformation of an archaeological community and its resulting representations in the context of the co-development of open Archaeological Information SystemsEric Lacombe, Dominik Lukas, Sébastien Durost https://doi.org/10.5281/zenodo.8309732Exploring The Role of Archaeological Information Systems in Improving Data Management and InteroperabilityRecommended by James Stuart Taylor based on reviews by 2 anonymous reviewersIn response to the feedback provided by the reviewers, the authors have undertaken a comprehensive revision of the manuscript [1]. These revisions have specifically targeted the primary concerns raised regarding the clarity and structure of the argument concerning the transformative impact of Archaeological Information Systems (AIS) on archaeological practices. In my view the revised manuscript now more clearly articulates the distinction between internal and external interoperability and emphasizes the critical importance of integrating contextual information with archaeological data. This approach directly addresses the previously identified need for enhanced traceability and usability of archaeological data, ensuring that the manuscript's contributions to the field are both clear and impactful. Moreover, the application of the proposed model at the Bibracte site is illustrated with greater clarity, serving as a concrete example of how the challenges associated with documentation and data management can be effectively addressed through the methodologies proposed in the paper. This practical demonstration enriches the manuscript, providing readers with a much clearer understanding of the model's applicability and benefits in real-world archaeological practice. The authors have also made significant efforts to refine the overall structure and coherence of the manuscript. By making complex concepts more accessible and ensuring a cohesive narrative flow throughout, the manuscript now offers a more engaging and comprehensible read. This has been achieved through careful rephrasing and restructuring of sections, particularly those relating to the T!O model's application and the conclusion, thereby enhancing reader engagement and comprehension. Alongside these structural and conceptual clarifications, explicit discussion of potential areas for future research, not only acknowledges the limitations of the current study but also highlights the significant potential for digital technologies to contribute to archaeological methodology and knowledge production. As such, the manuscript opens up new avenues for exploration and invites further scholarly engagement with the topics it addresses. I believe, these revisions address the earlier feedback quite comprehensively, presenting a robust and compelling argument for the adoption of collaborative and technologically informed approaches in the field of archaeology. The manuscript now stands as a strong example of the critical role AIS could/should play in transforming archaeological practices, offering valuable insights into how these kinds of systems might enhance the management, accessibility, and understanding of archaeological data. Through this revised submission, the authors have significantly strengthened their contribution to the ongoing discourse on digital archaeology, demonstrating the practical and theoretical implications of their work for the broader archaeological community. I am happy, therefore to recommend this paper for acceptence. Reference [1] Lacombe, E., Lukas, D. and Durost, S. (2024). The transformation of an archaeological community and its resulting representations in the context of the co-development of open Archaeological Information Systems. Zenodo, 8309732, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8309732
| The transformation of an archaeological community and its resulting representations in the context of the co-development of open Archaeological Information Systems | Eric Lacombe, Dominik Lukas, Sébastien Durost | <p>The adoption of Archaeological Information Systems (AIS) evolves according to multiple factors, both human and technical, as well as endogenous and exogenous. In consequence the ever increasing scope of digital tools, which allow for the organi... | Computational archaeology, Europe, Protohistory, Theoretical archaeology | James Stuart Taylor | 2023-09-01 18:58:26 | View | ||
22 Apr 2024
Cultural Significance Assessment of Archaeological Sites for Heritage Management: From Text of Spatial Networks of MeaningsYael Alef, Yuval Shafriri https://doi.org/10.5281/zenodo.8309992How Semantic Technologies and Spatial Networks Can Enhance Archaeological Resource ManagementRecommended by James Stuart Taylor based on reviews by Dominik Lukas and 1 anonymous reviewerAfter a thorough review and consideration of the revised manuscript titled "Cultural Significance Assessment of Archaeological Sites for Heritage Management: From Text to Spatial Networks of Meanings" by Yael Alef and Yuval Shafriri [1], I am recommending the paper for publication. The authors have made significant strides in addressing the feedback from the initial review process, notably enhancing the manuscript's clarity, methodological detail, and overall contribution to the field of Archaeological Resource Management (ARM). On balance I think the paper competently navigates the shift from a traditional significance-focused assessment of isolated archaeological sites to a more holistic and interconnected approach, leveraging graph data models and spatial networks. This transition represents an advancement in the field, offering deeper insights into the sociocultural dynamics of archaeological sites. The case study of ancient synagogues in northern Israel, particularly the Huqoq Synagogue, serves as a compelling illustration of the potential of semantic technologies to enrich our understanding of cultural heritage. Significantly, the authors have responded to the call for a clearer methodological framework by providing a more detailed exposition of their use of knowledge graph visualization and semantic technologies. This response not only strengthens the paper's scientific rigor but also enhances its accessibility and applicability to a broader audience within the conservation and heritage management community. However, I do think it remains important to acknowledge areas where further work could enrich the paper's contribution. While the manuscript makes notable advancements in the technical and methodological domains, the exploration of the ethical and political implications of semantic technologies in ARM remains less developed. Recognizing the complex interplay of ethical and political considerations in archaeological assessments is crucial for the responsible advancement of the field. Thus, I suggest that future work could productively focus on these dimensions, offering a more comprehensive view of the implications of integrating semantic technologies into heritage management practices. I don't think that this omission is a reason to withold the paper for publication or seek further review. In fact I think it stands alone a paper quite well. Perhaps the authors might consider this as a complementary line of inquiry in their future work in the field. In conclusion then, I believe the revised manuscript represents a valuable addition to the literature, pushing boundaries of how we assess, understand, and manage archaeological resources. Its focus on semantic technologies and the creation of spatial networks of meanings marks a significant step forward in the field. I believe its publication will stimulate further research and discussion, particularly in the realms of ethical and political considerations, which remain ripe for exploration. Therefore, I'm happy to endorse the publication of this manuscript. Reference [1] Alef, Y and Shafriri, Y. (2024). Cultural Significance Assessment of Archaeological Sites for Heritage Management: From Text of Spatial Networks of Meanings. Zenodo, 8309992, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8309992 | Cultural Significance Assessment of Archaeological Sites for Heritage Management: From Text of Spatial Networks of Meanings | Yael Alef, Yuval Shafriri | <p>This study examines the shift towards a values-based approach for Archaeological Resource Management (ARM), emphasizing the integration of Context-Based Significance Assessment (CBSA) with semantic technologies into digital ARM inventories. We ... | Computational archaeology, Conservation/Museum studies, Spatial analysis | James Stuart Taylor | 2023-09-01 22:24:15 | View | ||
09 Oct 2024
Experiences from the BItFROST Project: Developing a 3D repository at the Museum of Cultural HistoryPantos George Alexis, Bonelli Letizia, Indgjerd Hallvard, Uleberg Espen https://doi.org/10.5281/zenodo.8310062Keeping 3D data usable - the BitFROST projectRecommended by Kristin Kruse based on reviews by Alphaeus Lien-Talks and 1 anonymous reviewer3D technologies are now standard methods for documenting artefacts and archaeological sites. In order to make the resulting digital cultural heritage accessible to current and future generations, a long-term approach to data management is required, with continuous adjustments and consideration of the changing needs of the users. This is the conclusion of the authors Bonelli and colleagues [1], who present a project in which such a holistic approach was applied in practice. Introduced is the BitFROST platform (Bridging Research Across Heritage Studies) of the Museum of Cultural History at the University of Oslo. This self-hosted platform has been in existence since 2021 and is dedicated to optimising the long-term storage and reuse of 3D data. The project arose from the museum's legal obligations and long tradition of keeping archaeological information usable. The platform was developed with explicit consideration of user feedback to fulfil the different expectations and needs at an early stage. The BitFROST project is therefore a wonderful illustration of how change management should be practised. The article repeatedly provides brief insights into the functionalities and best practices of the platform but is particularly impressive due to its in-depth contextualisation within the state-of-the-art of digital data management. The authors show a high level of expertise and provide numerous references to further literature. The results of the user feedback are also extensively analysed, and it is explained how, for example, individual technical competence or institutional awareness lead to a great diversity of needs and how this can be counteracted with cooperation, ongoing training and continuous development (as mentioned above). I recommend this article as a very interesting case study and a well-researched white paper on complex digital data management. References Bonelli L., Pantos G. A.s, Indgjerd H., Uleberg E. (2024) Experiences from the BItFROST Project. Zenodo, ver.5 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.8310062 | Experiences from the BItFROST Project: Developing a 3D repository at the Museum of Cultural History | Pantos George Alexis, Bonelli Letizia, Indgjerd Hallvard, Uleberg Espen | <p>The Museum of Cultural History has been maintaining records and publishing its catalogues since the early 19th century. In recent years the institution has been working to improve data standardisation through adoption of common vocabularies, an... | Europe | Kristin Kruse | 2023-09-01 22:33:23 | View | ||
10 Jan 2024
Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3DFlorian Linsel, Jan Philipp Bullenkamp & Hubert Mara https://doi.org/10.5281/zenodo.8296269A valuable contribution to automated analysis of palaeolithic artefactsRecommended by Sebastian Hageneuer based on reviews by Lutz Schubert and 1 anonymous reviewerIn this paper (Linsel/Bullenkamp/Mara 2024), the authors propose an automatic system for scar-ridge-pattern detection on palaeolithic artefacts based on Morse Theory. Scare-Ridge pattern recognition is a process that is usually done manually while creating a drawing of the object itself. Automatic systems to detect scars or ridges exist, but only a small amount of them is utilizing 3D data. In addition to the scar-ridges detection, the authors also experiment in automatically detecting the operational sequence, the temporal relation between scars and ridges. As a result, they can export a traditional drawing as well as graph models displaying the relationships between the scars and ridges. After an introduction to the project and the practice of documenting palaeolithic artefacts, the authors explain their procedure in automatising the analysis of scars and ridges as well as their temporal relation to each other on these artefacts. To illustrate the process, an open dataset of lithic artefacts from the Grotta di Fumane, Italy, was used and 62 artefacts selected. To establish a Ground Truth, the artefacts were first annotated manually. The authors then continue to explain in detail each step of the automated process that follows and the results obtained. In the second part of the paper, the results are presented. First the results of the segmentation process shows that the average percentage of correctly labelled vertices is over 91%, which is a remarkable result. The graph modelling however shows some more difficulties, which the authors are aware of. To enhance the process, the authors rightfully aim to include datasets of experimental archaeology in the future. They also aim to develop a way of detecting the operational sequence automatically and precisely. This paper has great potential as it showcases exactly what Digital and Computational Archaeology is about: The development of new digital methods to enhance the analysis of archaeological data. While this procedure is still in development, the authors were able to present a valuable contribution to the automatization of analytical archaeology. By creating a step towards the machine-readability of this data, they also open up the way to further steps in machine learning within Archaeology. BibliographyLinsel, F., Bullenkamp, J. P., and Mara, H. (2024). Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3D, Zenodo, 8296269, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8296269 | Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3D | Florian Linsel, Jan Philipp Bullenkamp & Hubert Mara | <p>Motivated by the concept of combining the archaeological practice of creating lithic artifact drawings with the potential of 3D mesh data, our goal in this project is not only to analyze the shape at the artifact level, but also to enable a mor... | Computational archaeology, Europe, Lithic technology, Upper Palaeolithic | Sebastian Hageneuer | 2023-09-01 23:03:59 | View |
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