I-PETER (Interactive platform to experience tours and education on the rocks): A virtual system for the understanding and dissemination of mineralogical-petrographic science

Sinitò, Diego; Fugazzotto, Maura; Stroscio, Antonio; Coccato, Alessia; Allegra, Dario; Barone, Germana; Mazzoleni, Paolo; Stanco, Filippo

doi:10.1016/j.patrec.2019.12.002

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…Google Cultural Institute). A virtual museum can also be set up, in order to provide access to cultural sites that are otherwise invisible to the general public and to cultural artefacts that no longer exist or are impossible to view physically [88][89][90][91][92][93][94].…”

Section: Online Experiences-virtual Museumsmentioning

confidence: 99%

Novel Ways of Discovering, Capturing and Experiencing Cultural Heritage: A Review of Current State-of-the-Art, Challenges and Future Directions

Pappa¹,

Makropoulos²

2022

Heritage - New Paradigm

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The present chapter investigates the emerging paradigm of cultural heritage experience, as shaped by the continuous advances in information technologies. Recent years have seen the growing digitisation of cultural heritage, leveraged by innovative information technologies (imaging technologies, multimedia, virtual reality etc.). Advanced digitisation, and digital preservation and accessibility have been instrumental in transforming conservation and scientific research methods in the field of cultural heritage, as well as people’s experience of cultural heritage assets, relics, and monuments. Digitisation and immersion technologies are already in use in the context of cultural tourism in museums and on location. At the same time, a manifold of new applications and services can be generated from the adoption and adaptation of relevant technologies already applied in other sectors (e.g. 2D/3D digital scanning technologies applied in the construction industry). The present chapter will provide a thorough review of relevant digital technologies and existing work in the field, highlighting important research efforts and achievements; and will discuss the current challenges and promising avenues for future work. Following a literature review methodology, our research will provide a critical appraisal of carefully selected work from recent scientific literature and contribute to the systematisation of the current knowledge in the field towards the identification of key challenges and the extraction of new insights in terms of potential for practical applications and future research directions in the area.

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Section: Online Experiences-virtual Museumsmentioning

confidence: 99%

Novel Ways of Discovering, Capturing and Experiencing Cultural Heritage: A Review of Current State-of-the-Art, Challenges and Future Directions

Pappa¹,

Makropoulos²

2022

Heritage - New Paradigm

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“…There is a web application called I-PETER: Interactive Platform to Experience Tours and Education on the Rocks. This platform includes a labeled dataset of images of rocks and minerals to be used also for petrological investigations based on ML [148].…”

Section: Applications Of Machine Learning To Other Volcanological Datamentioning

confidence: 99%

Machine Learning in Volcanology: A Review

Carniel¹,

Guzmán²

2021

Updates in Volcanology - Transdisciplinary Nature of Volcano Science

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A volcano is a complex system, and the characterization of its state at any given time is not an easy task. Monitoring data can be used to estimate the probability of an unrest and/or an eruption episode. These can include seismic, magnetic, electromagnetic, deformation, infrasonic, thermal, geochemical data or, in an ideal situation, a combination of them. Merging data of different origins is a non-trivial task, and often even extracting few relevant and information-rich parameters from a homogeneous time series is already challenging. The key to the characterization of volcanic regimes is in fact a process of data reduction that should produce a relatively small vector of features. The next step is the interpretation of the resulting features, through the recognition of similar vectors and for example, their association to a given state of the volcano. This can lead in turn to highlight possible precursors of unrests and eruptions. This final step can benefit from the application of machine learning techniques, that are able to process big data in an efficient way. Other applications of machine learning in volcanology include the analysis and classification of geological, geochemical and petrological “static” data to infer for example, the possible source and mechanism of observed deposits, the analysis of satellite imagery to quickly classify vast regions difficult to investigate on the ground or, again, to detect changes that could indicate an unrest. Moreover, the use of machine learning is gaining importance in other areas of volcanology, not only for monitoring purposes but for differentiating particular geochemical patterns, stratigraphic issues, differentiating morphological patterns of volcanic edifices, or to assess spatial distribution of volcanoes. Machine learning is helpful in the discrimination of magmatic complexes, in distinguishing tectonic settings of volcanic rocks, in the evaluation of correlations of volcanic units, being particularly helpful in tephrochronology, etc. In this chapter we will review the relevant methods and results published in the last decades using machine learning in volcanology, both with respect to the choice of the optimal feature vectors and to their subsequent classification, taking into account both the unsupervised and the supervised approaches.

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“…Usually, virtual visits rely on technologies that make use of 3D techniques, VR (virtual reality) or AR (augmented reality). These technologies are not the only one that can be used to perform a virtual exploration of museums, other tools such as digital platforms that can be found in [11] can be considered as a tool to explore the museums' collections. In this case a good usage of UX/UI permitted to recreate a museum visit starting from the museum catalogue or exploring a digital map of the city, from where is possible to discover ancient artefact and their composition in terms of materials used to build them.…”

Section: Introductionmentioning

confidence: 99%

Realverso Lucanum: a metaverse for innovative didactic and digital tourism

Sinitò,

Setzu,

Verderame

et al. 2023

Proceedings of the 2022 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

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This paper aims to explain how the idea of Realverso Lucanum was born, what technical basis was used to develop it, and what motivations have been moving the team of iInformatica in the last year to realize this project. The potential offered by Realverso includes the tourist enhancement of attractions in the Lucanian territory, thanks to the signing of agreements with ten municipalities in the Basilicata region and the engagement with reproductions of real-world places, allowing users to be aware of historical and cultural facts. Moreover, Realverso is a metaverse with a vocation to sustainability. This is because within it, the dynamics of environmental protection and education for sustainable behavior are re-proposed, and they can be traced back to many of the UN 2030 Agenda points.

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I-PETER (Interactive platform to experience tours and education on the rocks): A virtual system for the understanding and dissemination of mineralogical-petrographic science

Cited by 9 publications

References 6 publications

Novel Ways of Discovering, Capturing and Experiencing Cultural Heritage: A Review of Current State-of-the-Art, Challenges and Future Directions

Novel Ways of Discovering, Capturing and Experiencing Cultural Heritage: A Review of Current State-of-the-Art, Challenges and Future Directions

Machine Learning in Volcanology: A Review

Realverso Lucanum: a metaverse for innovative didactic and digital tourism

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