Latest recommendations
Id | Title * | Authors * | Abstract * ▼ | Picture * | Thematic fields * | Recommender | Reviewers | Submission date | |
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06 Oct 2023
![]() Body Mapping the Digital: Visually representing the impact of technology on archaeological practice.Araar, Leila; Morgan, Colleen; Fowler, Louise https://doi.org/10.5281/zenodo.7990581Understanding archaeological documentation through a participatory, arts-based approachRecommended by Nicolo Dell'Unto based on reviews by 2 anonymous reviewersThis paper presents the use of a participatory arts-based methodology to understand how digital and analogue tools affect individuals' participation in the process of archaeological recording and interpretation. The preliminary results of this work highlight the importance of rethinking archaeologists' relationship with different recording methods, emphasising the need to recognise the value of both approaches and to adopt a documentation strategy that exploits the strengths of both analogue and digital methods. Although a larger group of participants with broader and more varied experience would have provided a clearer picture of the impact of technology on current archaeological practice, the article makes an important contribution in highlighting the complex and not always easy transition that archaeologists trained in analogue methods are currently experiencing when using digital technology. This is assessed by using arts-based methodologies to enable archaeologists to consider how digital technologies are changing the relationship between mind, body and practice. I found the range of experiences described in the papers by the archaeologists involved in the experiment particularly interesting and very representative of the change in practice that we are all experiencing. As the article notes, the two approaches cannot be directly compared because they offer different possibilities: if analogue methods foster a deeper connection with the archaeological material, digital documentation seems to be perceived as more effective in terms of data capture, information exchange and data sharing (Araar et al., 2023). It seems to me that an important element to consider in such a study is the generational shift and the incredible divide between native and non-native digital. The critical issues highlighted in the paper are central and provide important directions for navigating this ongoing (digital) transition. References Araar, L., Morgan, C. and Fowler, L. (2023) Body Mapping the Digital: Visually representing the impact of technology on archaeological practice., Zenodo, 7990581, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7990581 | Body Mapping the Digital: Visually representing the impact of technology on archaeological practice. | Araar, Leila; Morgan, Colleen; Fowler, Louise | <p>This paper uses a participatory, art-based methodology to understand how digital and analog tools impact individuals' experience and perceptions of archaeological recording. Body mapping involves the co-creation of life-sized drawings and narra... | ![]() | Computational archaeology, Theoretical archaeology | Nicolo Dell'Unto | 2023-06-01 09:06:52 | View | |
02 May 2024
![]() Exploiting RFID Technology and Robotics in the MuseumAntonis G. Dimitriou, Stella Papadopoulou, Maria Dermenoudi, Angeliki Moneda, Vasiliki Drakaki, Andreana Malama, Alexandros Filotheou, Aristidis Raptopoulos Chatzistefanou, Anastasios Tzitzis, Spyros Megalou, Stavroula Siachalou, Aggelos Bletsas, Traianos Yioultsis, Anna Maria Velentza, Sofia Pliasa, Nikolaos Fachantidis, Evangelia Tsangaraki, Dimitrios Karolidis, Charalampos Tsoungaris, Panagiota Balafa and Angeliki Koukouvou https://doi.org/10.5281/zenodo.7805387Social Robotics in the Museum: a case for human-robot interaction using RFID TechnologyRecommended by Daniel Carvalho based on reviews by Dominik Hagmann, Sebastian Hageneuer and Alexis PantosThe paper “Exploiting RFID Technology and Robotics in the Museum” (Dimitriou et al 2023) is a relevant contribution to museology and an interface between the public, archaeological discourse and the field of social robotics. It deals well with these themes and is concise in its approach, with a strong visual component that helps the reader to understand what is at stake. The option of demonstrating the different steps that lead to the final construction of the robot is appropriate, so that it is understood that it really is a linked process and not simple tasks that have no connection. The use of RFID technology for topological movement of social robots has been continuously developed (e.g., Corrales and Salichs 2009; Turcu and Turcu 2012; Sequeira and Gameiro 2017) and shown to have advantages for these environments. Especially in the context of a museum, with all the necessary precautions to avoid breaching the public's privacy, RFID labels are a viable, low-cost solution, as the authors point out (Dimitriou et al 2023), and, above all, one that does not require the identification of users. It is in itself part of an ambitious project, since the robot performs several functions and not just one, a development compared to other currents within social robotics (see Hellou et al 2022: 1770 for a description of the tasks given to robots in museums). The robotic system itself also makes effective use of the localization system, both physically, by RFID labels and by knowing how to situate itself with the public visiting the museum, adapting to their needs, which is essential for it to be successful (see Gasteiger, Hellou and Ahn 2022: 690 for the theme of localization). Archaeology can provide a threshold of approaches when it comes to social robotics and this project demonstrates that, bringing together elements of interaction, education and mobility in a single method. Hence, this is a paper with great merit and deserves to be recommended as it allows us to think of the museum as a space where humans and non-humans can converge to create intelligible discourses, whether in the historical, archaeological or cultural spheres. References Dimitriou, A. G., Papadopoulou, S., Dermenoudi, M., Moneda, A., Drakaki, V., Malama, A., Filotheou, A., Raptopoulos Chatzistefanou, A., Tzitzis, A., Megalou, S., Siachalou, S., Bletsas, A., Yioultsis, T., Velentza, A. M., Pliasa, S., Fachantidis, N., Tsagkaraki, E., Karolidis, D., Tsoungaris, C., Balafa, P. and Koukouvou, A. (2024). Exploiting RFID Technology and Robotics in the Museum. Zenodo, 7805387, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7805387 Corrales, A. and Salichs, M.A. (2009). Integration of a RFID System in a Social Robot. In: Kim, JH., et al. Progress in Robotics. FIRA 2009. Communications in Computer and Information Science, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03986-7_8 Gasteiger, N., Hellou, M. and Ahn, H.S. (2023). Factors for Personalization and Localization to Optimize Human–Robot Interaction: A Literature Review. Int J of Soc Robotics 15, 689–701. https://doi.org/10.1007/s12369-021-00811-8 Hellou, M., Lim, J., Gasteiger, N., Jang, M. and Ahn, H. (2022). Technical Methods for Social Robots in Museum Settings: An Overview of the Literature. Int J of Soc Robotics 14, 1767–1786 (2022). https://doi.org/10.1007/s12369-022-00904-y Sequeira, J. S., and Gameiro, D. (2017). A Probabilistic Approach to RFID-Based Localization for Human-Robot Interaction in Social Robotics. Electronics, 6(2), 32. MDPI AG. http://dx.doi.org/10.3390/electronics6020032 Turcu, C. and Turcu, C. (2012). The Social Internet of Things and the RFID-based robots. In: IV International Congress on Ultra Modern Telecommunications and Control Systems, St. Petersburg, Russia, 2012, pp. 77-83. https://doi.org/10.1109/ICUMT.2012.6459769 | Exploiting RFID Technology and Robotics in the Museum | Antonis G. Dimitriou, Stella Papadopoulou, Maria Dermenoudi, Angeliki Moneda, Vasiliki Drakaki, Andreana Malama, Alexandros Filotheou, Aristidis Raptopoulos Chatzistefanou, Anastasios Tzitzis, Spyros Megalou, Stavroula Siachalou, Aggelos Bletsas, ... | <p>This paper summarizes the adoption of new technologies in the Archaeological Museum of Thessaloniki, Greece. RFID technology has been adopted. RFID tags have been attached to the artifacts. This allows for several interactions, including tracki... | ![]() | Conservation/Museum studies, Remote sensing | Daniel Carvalho | 2023-04-10 14:04:23 | View | |
13 Jan 2024
![]() Dealing with post-excavation data: the Omeka S TiMMA web-databaseBastien Rueff https://doi.org/10.5281/zenodo.7989904Managing Archaeological Data with Omeka SRecommended by Jonathan HannaManaging data in archaeology is a perennial problem. As the adage goes, every day in the field equates to several days in the lab (and beyond). For better or worse, past archaeologists did all their organizing and synthesis manually, by hand, but since the 1970s ways of digitizing data for long term management and analysis have gained increasing attention [1]. It is debatable whether this ever actually made things easier, particularly given the associated problem of sustainable maintenance and accessibility of the data. Many older archaeologists, for instance, still have reels and tapes full of data that now require a new form of archaeology to excavate (see [2] for an unrealized idea on how to solve this). Today, the options for managing digital archaeological data are limited only by one’s imagination. There are systems built specifically for archaeology, such as Arches [3], Ark [4], Codifi [5], Heurist [6], InTerris Registries [7], OpenAtlas [8], S-Archeo [9], and Wild Note [10], as well as those geared towards museum collections like PastPerfect [11] and CatalogIt [12], among others. There are also mainstream databases that can be adapted to archaeological needs like MS Access [13] and Claris FileMaker [14], as well as various web database apps that function in much the same way (e.g., Caspio [15], dbBee [16], Amazon's Simpledb [17], Sci-Note [18], etc.) — all with their own limitations in size, price, and utility. One could also write the code for specific database needs using pre-built frameworks like those in Ruby-On-Rails [19] or similar languages. And of course, recent advances in machine-learning and AI will undoubtedly bring new solutions in the near future. But let’s be honest — most archaeologists probably just use Excel. That's partly because, given all the options, it is hard to decide the best tool and whether its worth changing from your current system, especially given few real-world examples in the literature. Bastien Rueff’s new paper [20] is therefore a welcomed presentation on the use of Omeka S [21] to manage data collected for the Timbers in Minoan and Mycenaean Architecture (TiMMA) project. Omeka S is an open-source web-database that is based in PHP and MySQL, and although it was built with the goal of connecting digital cultural heritage collections with other resources online, it has been rarely used in archaeology. Part of the issue is that Omeka Classic was built for use on individual sites, but this has now been scaled-up in Omeka S to accommodate a plurality of sites. Some of the strengths of Omeka S include its open-source availability (accessible regardless of budget), the way it links data stored elsewhere on the web (keeping the database itself lean), its ability to import data from common file types, and its multi-lingual support. The latter feature was particularly important to the TiMAA project because it allowed members of the team (ranging from English, Greek, French, and Italian, among others) to enter data into the system in whatever language they felt most comfortable. However, there are several limitations specific to Omeka S that will limit widespread adoption. Among these, Omeka S apparently lacks the ability to export metadata, auto-fill forms, produce summations or reports, or provide basic statistical analysis. Its internal search capabilities also appear extremely limited. And that is not to mention the barriers typical of any new software, such as onerous technical training, questionable long-term sustainability, or the need for the initial digitization and formatting of data. But given the rather restricted use-case for Omeka S, it appears that this is not a comprehensive tool but one merely for data entry and storage that requires complementary software to carry out common tasks. As such, Rueff has provided a review of a program that most archaeologists will likely not want or need. But if one was considering adopting Omeka S for a project, then this paper offers critical information for how to go about that. It is a thorough overview of the software package and offers an excellent example of its use in archaeological practice.
[1] Doran, J. E., and F. R. Hodson (1975) Mathematics and Computers in Archaeology. Harvard University Press. [2] Snow, Dean R., Mark Gahegan, C. Lee Giles, Kenneth G. Hirth, George R. Milner, Prasenjit Mitra, and James Z. Wang (2006) Cybertools and Archaeology. Science 311(5763):958–959. [3] https://www.archesproject.org/ [4] https://ark.lparchaeology.com/ [5] https://codifi.com/ [6] https://heuristnetwork.org/ [7] https://www.interrisreg.org/ [8] https://openatlas.eu/ [9] https://www.skinsoft-lab.com/software/archaelogy-collection-management [10] https://wildnoteapp.com/ [11] https://museumsoftware.com/ [12] https://www.catalogit.app/ [13] https://www.microsoft.com/en-us/microsoft-365/access [14] https://www.claris.com/filemaker/ [15] https://www.caspio.com/ [16] https://www.dbbee.com/ [17] https://aws.amazon.com/simpledb/ [18] https://www.scinote.net/ [19] https://rubyonrails.org/ [20] Rueff, Bastien (2023) Dealing with Post-Excavation Data: The Omeka S TiMMA Web-Database. peer-reviewed and recommended by Peer Community in Archaeology. https://zenodo.org/records/7989905 [21] https://omeka.org/
| Dealing with post-excavation data: the Omeka S TiMMA web-database | Bastien Rueff | <p>This paper reports on the creation and use of a web database designed as part of the TiMMA project with the Content Management System Omeka S. Rather than resulting in a technical manual, its goal is to analyze the relevance of using Omeka S in... | ![]() | Buildings archaeology, Computational archaeology | Jonathan Hanna | 2023-05-31 12:16:25 | 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 KatsianisThis 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 | |
10 Feb 2025
![]() Using Text Mining to Search for Neolithic Vlaardingen Culture Sites in the Rhine-Meuse-Scheldt DeltaLasse van den Dikkenberg, Alex Brandsen https://doi.org/10.5281/zenodo.14763691Excavating archaeological knowledge with Text Mining, NER and BERTRecommended by Daniel Carvalho based on reviews by Simon Carrignon and 1 anonymous reviewerThe production of texts in archaeology is vast and multiple in nature, and the archaeologist often misses the true extent of its scope. Machine learning and deep learning have a top place to play in these analyses (Bellat et al 2025), with text extraction methods being therefore a useful tool for reducing complexity and, more specifically, for uncovering elements that may be lost in the midst of so much literary production. This is what Van den Dikkenberg and Brandsen set out to do in the specific case of Vlaardingen Culture (3400-2500 BCE). By using NER (Named Entity Recognition) with BERT (Bidirectional Encoder Representations from Transformers) they were able to recover data related to the location of sites, the relevance of the data and, just as importantly, potential errors and failures in interpretation (Van den Dikkenberg and Brandsen 2025). The contextual aspect is emphasized here by the authors, and is one of the main reasons why BERT is used, which is logically a wake-up call for the future: it is not enough to classify or represent data, it is essential to understand what surrounds it, its contexts and its particularities (Brandsen et al 2022). For this, refinement is always advocated, as these models need constant attention in terms of both training data and parameters. This constant search means that this article is not simply an analysis, but that it can be a relevant contribution both to the culture in question and to the way in which we approach and extract relevant information about the grey literature that archaeology produces. Thus, Van den Dikkenberg and Brandsen present us with an article that is eminently practical but which considers the theoretical implications of this automation of the search for the contexts of archaeological data, which reinforces its relevance and, consequently, its recommendation. References Bellat, M., Orellana Figueroa, J. D., Reeves, J. S., Taghizadeh-Mehrjardi, R., Tennie, C. & Scholten, T. (2025). Machine learning applications in archaeological practices: A review. https://doi.org/10.48550/arXiv.2501.03840 Brandsen, A., Verberne, S., Lambers, K. & Wansleeben, M. (2022). Can BERT dig it? Named entity recognition for information retrieval in the archaeology domain. Journal on Computing and Cultural Heritage, 15(3), 1–18. https://doi.org/10.1145/3497842 Van den Dikkenberg, L. & Brandsen, A. (2025). Using Text Mining to Search for Neolithic Vlaardingen Culture Sites in the Rhine-Meuse-Scheldt Delta. Zenodo. v2 peer-reviewed and recommended by Peer Community In Archaeology https://doi.org/10.5281/zenodo.14763691 | Using Text Mining to Search for Neolithic Vlaardingen Culture Sites in the Rhine-Meuse-Scheldt Delta | Lasse van den Dikkenberg, Alex Brandsen | <p>This paper presents a study on Vlaardingen Culture (3400-2500 BCE) sites in the<br>Rhine-Meuse-Scheldt delta using AGNES, an intelligent search engine for Dutch and<br>Flemish archaeological grey literature. The aims of this paper are twofold: ... | ![]() | Computational archaeology, Europe, Neolithic | Daniel Carvalho | 2024-08-09 12:00:34 | View | |
02 Jan 2024
Advancing data quality of marine archaeological documentation using underwater robotics: from simulation environments to real-world scenariosDiamanti, Eleni; Yip, Mauhing; Stahl, Annette; Ødegård, Øyvind https://doi.org/10.5281/zenodo.8305098Beyond Deep Blue: Underwater robotics, simulations and archaeologyRecommended by Daniel Carvalho based on reviews by Marco Moderato and 1 anonymous reviewerDiamanti et al. (2024) is a significant contribution to the field of underwater robotics and their use in archaeology, with an innovative approach to some major problems in the deployment of said technologies. It identifies issues when it comes to approaching Underwater Cultural Heritage (UCH) sites and does so through an interest in the combination of data, maneuverability, and the interpretation provided by the instruments that archaeologists operate. The article's motives are clear: it is not enough to find the means to reach these sites, but rather is fundamental to take a step forward in methodology and how we can safeguard certain aspects of data recovery with robust mission planning. To this end, the article does not fail to highlight previous contributions, in an intertwined web of references that demonstrate the marked evolution of the use of Unmanned Underwater Vehicles (UUVs), Remote Operated Vehicles (ROVs), Autonomous Underwater Vehicles (AUVs) and Autonomous Surface Vehicles (ASVs), which are growing exponentially in use (see Kapetanović et al. 2020). It should be emphasized that the notion of ‘aquatic environment’ used here is quite broad and is not limited to oceanic or maritime environments, which allows for a larger perspective on distinct technologies that proliferate in underwater archaeology. There is also a relevant discussion on the typologies of sensors and how these autonomous vehicles obtain their data, where are debated Inertial Measurement Units (IMU) and LiDAR systems. Thus, the authors of this article propose the creation of a model that acquires data through simulations, which allows for a better understanding of what a real mission presupposes in the field. Their tripartite method - pre-mission planning; mission plan and post-mission plan - offers a performing algorithm that simplifies and provides reliability to all the parts of the intervention. The use of real cases to create simulation models allows for a substantial approximation to common practice in underwater environments. And yet, the article is at its most innovative status when it combines all the elements it sets out to explore. It could simply focus on the methodological or planning component, on obtaining data, or on theoretical problems. But it goes further, which makes this approach more complete and of interest to the archaeological community. By not taking any part as isolated, the problems and possible solutions arising from the course of the mission are carried over from one parameter to another, where details are worked upon and efficiency goals are set. One of the most significant cases is the tuning of ocean optics in aquatic environments according to the idiosyncracies of real cases (Diamanti et al. 2024: 8), a complex endeavor but absolutely necessary in order to increase the informative potential of the simulation. The exploration of various data capture models is also welcome, for the purposes of comparison and adaptation on a case-by-case basis. The brief theoretical reflection offered at the end of the article dwells in all these points and problematizes the difference between terrestrial and aquatic archaeology. In fact, the distinction does not only exist in the technical component, as although it draws in theoretical elements from archaeology that is carried out on land (see Krieger 2012 for this matter), the problems and interpretations are shaped by different factors and therefore become unique (Diamanti et al 2024: 15). The future, according to the authors, lies in increasing the autonomy of these vehicles so that the human element does not have to make decisions in a systematic way. It is in that note, and in order for that path to become closer to reality, that we strongly recommend this article for publication, in conjunction with the comments of the reviewers. We hope that its integrated approach, which brings together methods, theories and reflections, can become a broader modus operandi within the field of underwater robotics applied to archaeology. References: Diamanti, E., Yip, M., Stahl, A. and Ødegård, Ø. (2024). Advancing data quality of marine archaeological documentation using underwater robotics: from simulation environments to real-world scenarios, Zenodo, 8305098, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8305098 Kapetanović, N., Vasilijević, A., Nađ, Đ., Zubčić, K., and Mišković, N. (2020). Marine Robots Mapping the Present and the Past: Unraveling the Secrets of the Deep. Remote Sensing, 12(23), 3902. MDPI AG. http://dx.doi.org/10.3390/rs12233902 Krieger, W. H. (2012). Theory, Locality, and Methodology in Archaeology: Just Add Water? HOPOS: The Journal of the International Society for the History of Philosophy of Science, 2(2), 243–257. https://doi.org/10.1086/666956
| Advancing data quality of marine archaeological documentation using underwater robotics: from simulation environments to real-world scenarios | Diamanti, Eleni; Yip, Mauhing; Stahl, Annette; Ødegård, Øyvind | <p>This paper presents a novel method for visual-based 3D mapping of underwater cultural heritage sites through marine robotic operations. The proposed methodology addresses the three main stages of an underwater robotic mission, specifically the ... | Computational archaeology, Remote sensing | Daniel Carvalho | 2023-08-31 16:03:10 | View | ||
05 Jan 2024
![]() Transforming the CIDOC-CRM model into a megalithic monument property graphAriele Câmara, Ana de Almeida, João Oliveira https://doi.org/10.5281/zenodo.7981230Informative description of a project implementing a CIDOC-CRM based native graph database for representing megalithic informationRecommended by Isto Huvila based on reviews by 2 anonymous reviewersThe paper “Transforming the CIDOC-CRM model into a megalithic monument property graph” describes an interesting endeavour of developing and implementing a CIDOC-CRM based knowledge graph using a native graph database (Neo4J) to represent megalithic information (Câmara et al. 2023). While there are earlier examples of using native graph databases and CIDOC-CRM in diverse heritage contexts, the present paper is useful addition to the literature as a detailed description of an implementation in the context of megalithic heritage. The paper provides a demonstration of a working implementation, and guidance for future projects. The described project is also documented to an extent that the paper will open up interesting opportunities to compare the approach to previous and forthcoming implementations. The same applies to the knowledge graph and use of CIDOC-CRM in the project. Readers interested in comparing available technologies and those who are developing their own knowledge graphs might have benefited of a more detailed description of the work in relation to the current state-of-the-art and what the use of a native graph database in the built-heritage contexts implies in practice for heritage documentation beyond that it is possible and it has potentially meaningful performance-related advantages. While also the reasons to rely on using plain CIDOC-CRM instead of extensions could have been discussed in more detail, the approach demonstrates how the plain CIDOC-CRM provides a good starting point to satisfy many heritage documentation needs. As a whole, the shortcomings relating to positioning the work to the state-of-the-art and reflecting and discussing design choices do not reduce the value of the paper as a valuable case description for those interested in the use of native graph databases and CIDOC-CRM in heritage documentation in general and the documentation of megalithic heritage in particular. ReferencesCâmara, A., de Almeida, A. and Oliveira, J. (2023). Transforming the CIDOC-CRM model into a megalithic monument property graph, Zenodo, 7981230, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7981230 | Transforming the CIDOC-CRM model into a megalithic monument property graph | Ariele Câmara, Ana de Almeida, João Oliveira | <p>This paper presents a method to store information about megalithic monuments' building components as graph nodes in a knowledge graph (KG). As a case study we analyse the dolmens from the region of Pavia (Portugal). To build the KG, information... | ![]() | Computational archaeology | Isto Huvila | 2023-05-29 13:46:49 | View | |
07 Nov 2024
![]() Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the MediterraneanEleni Diamanti, Øyvind Ødegård, Vasilis Mentogiannis, George Koutsouflakis https://doi.org/10.5281/zenodo.13460949Underwater drones and semi-automatic SfM, a challenge for underwater archaeology, or are we already there?Recommended by Jesus Garcia SanchezAnything related to underwater archaeology, either survey, excavation, or documentation processes, poses important challenges that were already once tackled and overcome in ground archaeology. While the archaeological and historical goals of researching the underwater heritage have already been defined and studied in the last decades, i.e. maritime economy, archaeology of harbour constructions, or life within ancient vessels, some of the methodological aspects that we consider normal in the surface are still a matter of concern for underwater archaeologists. Most of these issues are related to a general question: how to acquire geospatial data below the surface. That question related to the problem of acquiring spatial data with GPS data that could be analysed through established tools such as GIS. One could get spatial data with relative positions. However, it has to be inserted in a GIS using a projection. Drones and GPS are one of the most significant archaeological documentation advances in the last decades. Both systems have become available due to the popularisation of affordable systems and software and the widespread use of GPS for civil uses. Recently, different scholars (Campana, 2017; Stek, 2016; Verhoeven et al., 2021; Waagen, 2019) have elaborated on the use of drones in (Mediterranean) archaeology and beyond. Nevertheless, once one starts working in a completely different setting as underwater archaeology, the need to answer the same methodological questions emerges one more time. How to create digital models of the (sea bottom) surface that could be useful to answer archaeological questions? Those questions could be posed in intra-site contexts (shipwrecks) of “submerged landscape” contexts, like a harbour context, an anchorage area, or a bay used through the past due to favourable conditions. The paper by Diamanti and colleagues (2024) tackles these issues related to drone-based SfM in underwater archaeology. First, they introduced, albeit generally, drone imagery in archaeology to jump into the evolution of drone technology and its applications to marine archaeology. In this section, the main issues regarding the application of drones underwater are familiar to drone practitioners, such as payload capacity, portability, or affordability; other problems are mostly related to underwater devices, such as dive keep, real-time assessment or positioning using USBL (Ultra short baseline). Diamanti and colleagues present two study cases stemming from an ongoing project conducted in the Phournoi archipelago in the North Aegean Sea, Greece. The first study case is a Late Roman/ Early Byzantine shipwreck, and the second case study is an anchorage area. Both cases are relevant to the paper's overall scope and fit the reader's interest in how to apply underwater drone archaeology in a site context, the shipwreck, and in a broad context/ landscape, the anchorage point. The former a fascinating topic that has been tackled systematically in other areas of the Mediterranean sea (Quevedo et al., 2024) I won’t explain both cases deeply, but both demonstrate the capabilities of drone-based SfM in underwater contexts. The authors use different devices with different cameras and make an interesting comparison with diver-based 3D models, perhaps the most used method to produce orthophotography of the sea-bottom surface for more than half a century (Drap, 2012; Yamafune et al., 2017). The authors lost a good opportunity to present a more exhaustive comparison of dive-based and drone-based SfM results besides the textual explanation. As a reviewer commented a summary table with camera characteristics and data from the processing results could have given way more depth to that interesting analysis. The authors present a workflow of the process when dealing with complex technological elements, starting with the hardware components such as drones, USBL, and cameras, and the software component of the process, from frame extraction to SfM. This addition contributes to the reproducibility of methodologies, as it is expected from methodological paper as this one. Kudos for that. In general, Diamani et al.'s paper is a valuable contribution to understanding the impact of drone surveys underwater. It offers information about two relevant study cases that could be used as paradigms for upcoming innovation in underwater archaeology. The recommendation remains to elaborate further on the comparative perspective as the only way to make the research truly innovative. References Campana, S., 2017. Drones in Archaeology. State-of-the-art and Future Perspectives. Archaeol. Prospect. 24, 275–296. https://doi.org/10.1002/arp.1569 Diamanti, E., Ødegård, Ø., Mentogiannis, V. and Koutsouflakis, G. (2024) Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the Mediterranean. Zenodo, ver.3 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.13460949 Drap, P., 2012. Underwater Photogrammetry for Archaeology, in: Special Applications of Photogrammetry. IntechOpen. https://doi.org/10.5772/33999 Quevedo, A., Aragón, E., de Dios Hernández García, J., Rodríguez Pandozi, J., Mukai, T., Segura, A., Bellviure, J. and Muñoz Yesares, R., 2024. Isla del Fraile. Reconstructing Coastal Dynamics in Southeastern Spain Through Underwater Archaeological Survey. Archaeol. Prospect. 31, 149–170. https://doi.org/10.1002/arp.1937 Stek, T., 2016. Drones over Mediterranean landscapes. The potential of small UAV’s (drones) for site detection and heritage management in archaeological survey projects: A case study from Le Pianelle in the Tappino Valley, Molise (Italy). J. Cult. Herit. 1066–1071. https://doi.org/10.1016/j.culher.2016.06.006 Verhoeven, G., Cowley, D. and Traviglia, A., 2021. Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory. https://doi.org/10.3390/books978-3-0365-1376-8 Waagen, J., 2019. New technology and archaeological practice. Improving the primary archaeological recording process in excavation by means of UAS photogrammetry. J. Archaeol. Sci. 101, 11–20. https://doi.org/10.1016/j.jas.2018.10.011 Yamafune, K., Torres, R. and Castro, F., 2017. Multi-Image Photogrammetry to Record and Reconstruct Underwater Shipwreck Sites. J. Archaeol. Method Theory 24, 703–725. https://doi.org/10.1007/s10816-016-9283-1 | Underwater Drones as a Low-Cost, yet Powerful Tool for Underwater Archaeological Mapping: Case Studies from the Mediterranean | Eleni Diamanti, Øyvind Ødegård, Vasilis Mentogiannis, George Koutsouflakis | <p>This paper investigates the transformative impact of micro-class Remote Operated Vehicles (ROVs), commonly known as underwater drones, on underwater archaeological mapping. With advancements in Unmanned Underwater Vehicles (UUVs) technology lea... | ![]() | Computational archaeology, Remote sensing, Spatial analysis | Jesus Garcia Sanchez | 2024-08-28 19:50:39 | View | |
03 Mar 2025
![]() An Australian Overview: The Creation and Use of 3D Models in Australian UniversitiesThomas J. Keep, Madeline M. G. Robinson, Jackson Shoobert, Jessie Birkett-Rees https://doi.org/10.5281/zenodo.13864694Enhancing Heritage: 3D Modeling Technologies in Australian Higher EducationRecommended by Robert StephanThe integration of 3D modeling technologies in Australian universities is transforming the study and preservation of cultural heritage, providing innovative ways to enhance educational outcomes and accessibility. This article by Keep et al. meticulously explores how these digital tools are being adopted across various institutions to support object-based learning (OBL) and research. This paper delves into the significant rise of 3D digitization in cultural heritage, driven by the increasing availability of advanced, user-friendly technology. By examining the methodologies employed by major Australian universities, the authors present compelling evidence of how 3D models serve not just as substitutes for physical artifacts but as enhanced digital surrogates that offer new insights and educational opportunities. For instance, the University of Sydney and the University of Melbourne showcase projects where digital models allow for detailed examination of artifacts beyond what is possible in physical settings, demonstrating the practical benefits and pedagogical impacts of 3D modeling. However, the article also highlights substantial challenges, including the lack of standardized practices and sustainable funding, which could impede the full potential of these digital surrogates. The variability in digitization and metadata practices among institutions suggests a pressing need for standardized protocols to ensure compatibility and maximize the utility of 3D models in academic and research settings. One of the most compelling aspects of this study is its discussion on the future of digital methodologies in heritage studies. The authors advocate for strategic, long-term collaboration to address these challenges, suggesting that without a concerted effort to regulate and standardize 3D modeling practices, the benefits of these technologies might not be fully realized. They call for a symposium similar to the London Charter, aiming to establish guidelines that could shepherd the growth and integration of 3D technologies in cultural heritage studies. This recommendation for Keep et al.’s article is based on its insightful analysis and its potential to serve as a blueprint for other institutions looking to incorporate 3D modeling into their curricula. The detailed case studies and critical perspectives on standardization and sustainability provide a crucial viewpoint for future developments in this field. The article not only underscores the successes of digital surrogates in educational contexts but also addresses the limitations and challenges, paving the way for enriched academic discourse and practical applications in cultural heritage studies. References Thomas J. Keep, Madeline M. G. Robinson, Jackson Shoobert, Jessie Birkett-Rees (2025) An Australian Overview: The Creation and Use of 3D Models in Australian Universities. Zenodo, ver.2 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.13864694 | An Australian Overview: The Creation and Use of 3D Models in Australian Universities | Thomas J. Keep, Madeline M. G. Robinson, Jackson Shoobert, Jessie Birkett-Rees | <p>This paper examines the current status of 3D modelling of cultural heritage objects in Australian universities, focusing on how these models are being integrated into object-based learning practices. It discusses the different approaches taken ... | ![]() | Conservation/Museum studies | Robert Stephan | 2024-09-30 07:15:41 | View | |
02 Dec 2023
![]() Research perspectives and their influence for typologiesEnrico Giannichedda https://doi.org/10.5281/zenodo.7322855Complexity and Purpose – A Pragmatic Approach to the Diversity of Archaeological Classificatory Practice and TypologyRecommended by Shumon Tobias Hussain“Research perspectives and their influence for typologies” by E. Giannichedda (1) is a contribution to the upcoming volume on the role of typology and type-thinking in current archaeological theory and praxis edited by the recommenders. Taking a decidedly Italian perspective on classificatory practice grounded in what the author dubs the “history of material culture”, Giannichedda offers an inventory of six divergent but overall complementary modes of ordering archaeological material: i) chrono-typological and culture-historical, ii) techno-anthropological, iii) social, iv) socio-economic and v) cognitive. These various lenses broadly align with similarly labeled perspectives on the archaeological record more generally. According to the author, they lend themselves to different ways of identifying and using types in archaeological work. Importantly, Giannichedda reminds us that no ordering practice is a neutral act and typologies should not be devised for their own sake but because we have specific epistemic interests. Even though this view is certainly not shared by everyone involved in the broader debate on the purpose and goal of systematics, classification, typology or archaeological taxonomy (2–4), the paper emphatically defends the long-standing idea that ordering practices are not suitable to elucidate the structure and composition of reality but instead devise tools to answer certain questions or help investigate certain dimensions of complex past realities. This position considers typologies as conceptual prosthetics of knowing, a view that broadly resonates with what is referred to as epistemic instrumentalism in the philosophy of science (5, 6). Types and type-work should accordingly reflect well-defined means-end relationships. Based on the recognition of archaeology as part of an integrated “history of material culture” rooted in a blend of continental and Anglophone theories, Giannichedda argues that type-work should pay attention to relevant relations between various artefacts in a given historical context that help further historical understanding. Classificatory practice in archaeology – the ordering of artefactual materials according to properties – must thus proceed with the goal of multifaceted “historical reconstruction in mind”. It should serve this reconstruction, and not the other way around. By drawing on the example of a Medieval nunnery in the Piedmont region of northwestern Italy, Giannichedda explores how different goals of classification and typo-praxis (linked to i-v; see above) foreground different aspects, features, and relations of archaeological materials and as such allow to pinpoint and examine different constellations of archaeological objects. He argues that archaeological typo-praxis, for this reason, should almost never concern itself with isolated artefacts but should take into account broader historical assemblages of artefacts. This does not necessarily mean to pay equal attention to all available artefacts and materials, however. To the contrary, in many cases, it is necessary to recognize that some artefacts and some features are more important than others as anchors grouping materials and establishing relations with other objects. An example are so-called ‘barometer objects’ (7) or unique pieces which often have exceptional informational value but can easily be overlooked when only shared features are taken into consideration. As Giannichedda reminds us, considering all objects and properties equally is also a normative decision and does not render ordering less subjective. The archaeological analysis of types should therefore always be complemented by an examination of variants, even if some of these variants are idiosyncratic or even unique. A type, then, may be difficult to define universally. In total, “Research perspectives and their influence for typologies” emphasizes the need for “elastic” and “flexible” approaches to archaeological types and typologies in order to effectively respond to the manifold research interests cultivated by archaeologists as well as the many and complex past realities they face. Complexity is taken here to indicate that no single research perspective and associated mode of ordering can adequately capture the dimensionality and richness of these past realities and we can therefore only benefit from multiple co-existing ways of grouping and relating archaeological artefacts. Different logics of grouping may simply reveal different aspects of these realities. As such, Giannichedda’s proposal can be read as a formulation of the now classic pluralism thesis (8–11) – that only a plurality of ways of ordering and interrelating artefacts can unlock the full suite of relationships within historical assemblages archaeologists are interested in.
Bibliography 1. Giannichedda, E. (2023). Research perspectives and their influence for typologies, Zenodo, 7322855, ver. 9 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.7322855 2. Dunnell, R. C. (2002). Systematics in Prehistory, Illustrated Edition (The Blackburn Press, 2002). 3. Reynolds, N. and Riede, F. (2019). House of cards: cultural taxonomy and the study of the European Upper Palaeolithic. Antiquity 93, 1350–1358. https://doi.org/10.15184/aqy.2019.49 4. Lyman, R. L. (2021). On the Importance of Systematics to Archaeological Research: the Covariation of Typological Diversity and Morphological Disparity. J Paleo Arch 4, 3. https://doi.org/10.1007/s41982-021-00077-6 5. Van Fraassen, B. C. (2002). The empirical stance (Yale University Press). 6. Stanford, P. K. (2006). Exceeding Our Grasp: Science, History, and the Problem of Unconceived Alternatives (Oxford University Press). https://doi.org/10.1093/0195174089.001.0001 7. Radohs, L. (2023). Urban elite culture: a methodological study of aristocracy and civic elites in sea-trading towns of the southwestern Baltic (12th-14th c.) (Böhlau). 8. Kellert, S. H., Longino, H. E. and Waters, C. K. (2006). Scientific pluralism (University of Minnesota Press). 9. Cat, J. (2012). Essay Review: Scientific Pluralism. Philosophy of Science 79, 317–325. https://doi.org/10.1086/664747 10. Chang, H. (2012). Is Water H2O?: Evidence, Realism and Pluralism (Springer Netherlands). https://doi.org/10.1007/978-94-007-3932-1 11. Wylie, A. (2015). “A plurality of pluralisms: Collaborative practice in archaeology” in Objectivity in Science, (Springer), pp. 189–210. https://doi.org/10.1007/978-3-319-14349-1_10
| Research perspectives and their influence for typologies | Enrico Giannichedda | <p>This contribution opens with a brief reflection on theoretical archaeology and practical material classification activities. Following this, the various questions that can be asked of artefacts to be classified will be briefly addressed. Questi... | ![]() | Theoretical archaeology | Shumon Tobias Hussain | 2022-11-10 20:14:52 | View |
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