1,721,007 research outputs found

    Sustainability of 3D heritage data: life cycle and impact

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    In recent years, the exploit of 3D data use in Archaeology and the Cultural Heritage sector in general has caused an exponential multiplication of digital content that can be viewed on the web. Nevertheless, web platforms can display a concerning dualism: on one side some contents are over-represented with the same models uploaded dozens of times even inside the same platform; on the other, the inaccessibility or absence of proper 3D documentation for certain datasets limits the usefulness of the resources. As a result of substantial funding received (mostly from public institutions) and the volume of data produced by each digitization project, the final impacts on the broader scientific community remain limited. Starting from the analysis of data published about EU-funded projects by the European Union Commission on the platform CORDIS, this research approaches the delicate issue of the unsustainability of the current 3D data life cycle. The analysis of 110 selected projects revealed a disturbing pattern: even though the EU provided funds for many projects that approached in different ways 3D data diffusion or sharing, currently only 8 of them made the data accessible

    Re-think, Re-shape, Re-instate: 3D Semantic Modelling and Community Archaeology on the via Appia

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    Questa tesi è frutto di un percorso dottorale interdisciplinare in Sostenibilità Ambientale e Benessere. La ricerca parte da un’impronta archeologica e viene arricchita dall’approccio digitale integrato con la psicologia sociale, per approfondire l'intricato rapporto tra paesaggio, comunità locale e benessere individuale, sfruttando il potenziale dei dati 3D come veicolo per l'esplorazione interdisciplinare. Partendo da una riflessione sul ruolo del Patrimonio Culturale Digitale nella società contemporanea, la tesi approccia le complessità della sostenibilità del dato nel pieno di una fase di profonda Digital Transformation. La ricerca esamina il rapporto complementare tra il Building Information Modelling (BIM) e Archeologia, sostenendo come sia fondamentale riconoscere un ruolo da intermediario alla Modellazione Semantica per poter realizzare Heritage Digital Twin funzionali ed efficaci. Attraverso un flusso di lavoro digitale incentrato sulla condivisione dei dati, la ricerca favorisce la convergenza tra dati archeologici, ipotesi di ricostruzione virtuale e sistemi BIM. Inoltre, emerge il potenziale latente dei dati 3D, spesso sotto-utilizzati o utilizzati in modo frammentario. Esplorando ulteriormente, la tesi sfrutta dataset in 3D come ponte tra discipline, impiegando metodi dalla psicologia sociale e simulazioni all'interno di un ambiente in 3D per indagare il legame fra visibile e percepito. Attraverso il caso studio di Nijmegen, la ricerca approfondisce l'interazione tra paesaggi storici e i processi di costruzione di identità culturale e, sottolineando l'importanza dei punti di riferimento nel tessuto urbano, il legame fra questi processi e lo sviluppo di benessere a livello individuale e di comunità. Centrale da questa prospettiva è l’esplorazione del concetto di Mindscape, che racchiude il significato culturale dei paesaggi come depositari di memorie, valori ed emozioni. Attingendo da strumenti e metodi della psicologia sociale e della sociologia, la tesi allarga il proprio campo di indagine per includere l'interazione dinamica tra individui, comunità e il paesaggio circostante. Infine, il sistema integrato viene applicato a contesti complessi come il secondo miglio della via Appia Antica a Roma. Qui, l'obiettivo è una conciliazione sostenibile tra le eredità archeologiche, gli spazi urbani e l'accessibilità fisica e culturale per la comunità. Questo sforzo culmina nello sviluppo di un Ecosistema Digitale, basato su un intreccio armonico fra dati archeologici in GIS 2D, set di dati 3D, ricostruzioni virtuali e modelli BIM per offrire un approccio olistico alla gestione del paesaggio e al coinvolgimento della comunità.This interdisciplinary thesis emerges from an interdisciplinary doctoral journey in Environmental Sustainability and Well-being. Rooted in archaeology and enriched by digital expertise combined with social psychology, it delves into the intricate interplay between landscape, community dynamics, and individual well-being, leveraging the potential of 3D data as a conduit for interdisciplinary exploration. Beginning with a reflection on the role of Digital Cultural Heritage in contemporary society, the thesis navigates the complexities of sustainability amidst a surge in digital tools. It scrutinizes the symbiotic relationship between Building Information Modelling (BIM) and archaeology, advocating for the intermediary role of Semantic Modelling in navigating the evolving landscape of Heritage Digital Twin systems. Through a digital workflow centred on data-sharing, the research fosters convergence between archaeological data, virtual reconstruction hypotheses, and BIM systems. Here, the latent potential of 3D data emerges, challenging prevailing underapplications and data fragmentations. Venturing further, the thesis employs 3D datasets as a bridge across disciplines, employing methods from social psychology and simulations within a 3D environment. Through the case study of Nijmegen, the research delves into the interaction between historical landscapes and the construction processes of cultural identity, emphasizing the importance of landmarks in the urban fabric and the connection between these processes and the development of well-being at both individual and community levels. Central to this exploration is the concept of Mindscape, which encapsulates the cultural significance of landscapes as repositories of memories, values, and emotions. Drawing from insights in social psychology and sociology, the thesis broadens its purview to include the dynamic interaction between individuals, communities, and their surroundings. Finally, the integrated system is applied to complex contexts such as the second mile of the via Appia Antica in Rome. Here, the aim is sustainable reconciliation between archaeological legacies, urban spaces, and community accessibility. This endeavour culminates in the development of a Digital Ecosystem, weaving together 2D GIS archaeological data, 3D datasets, virtual reconstructions, and BIM models to offer a holistic approach to landscape management and community engagemen

    InFieri: Incontri di Archeologia Sapienza : miscellanea degli atti II (2018-2019) e III (2020)

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    IAS-Incontri di Archeologia Sapienza" è un progetto multidisciplinare ideato da studenti del Dipartimento di Scienze dell'Antichità presso la Sapienza Università di Roma. Avviato nel 2018, il progetto offre uno spazio aperto per giovani studiosi delle materie antichistiche, inizialmente focalizzato sulla condivisione dei risultati delle tesi di laurea. Nel corso degli anni, si è evoluto in un formato di conferenza aperto a relatori provenienti da diverse discipline dei Beni Culturali. Dopo le prime edizioni concentrate su singoli appuntamenti, dal 2020 il progetto si è trasformato in un convegno aperto a partecipanti provenienti da diverse istituzioni e discipline. Le tematiche affrontate sono varie e includono l'Archeologia di Roma, l'Archeologia delle Province Romane, il" Rilievo archeologico, e altri argomenti specifici

    Revixit Urbs: a Reconstruction of Elaiussa Sebaste (Rough Cilicia) as an Interpretative Model of Urban Settlement from Middle Hellenism to Late Antiquity: Project for the Next Five Years

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    A 3D RECONSTRUCTION OF ELAIUSSA SEBASTE (ROUGH CILICIA) AS AN INTERPRETATIVE MODEL OF URBAN SETTLEMENT FROM MIDDLE HELLENISM TO LATE ANTIQUITY: PROJECT FOR THE NEXT FIVE YEAR

    Towards the recommendation of resources in Coursera

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    Technology Enhanced Learning (TEL) largely focuses on the retrieval and reuse of educational resources from Web platforms like Coursera. Unfortunately, Coursera does not provide educational metadata of its content. To overcome this limitation, this study proposes a data mining approach for discovering Teaching Contexts (TC) where resources have been delivered in. Such TCs can facilitate the retrieval of resources for the teaching preferences and requirements of teachers

    A recommendation module to help teachers build courses through the Moodle Learning Management System

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    In traditional e-learning, teachers design sets of Learning Objects (LOs) and organize their sequencing; the material implementing the LOs could be either built anew or adopted from elsewhere (e.g. from standard-compliant repositories) and reused. This task is applicable also when the teacher works in a system for personalized e-learning. In this case, the burden actually increases: for instance, the LOs may need adaptation to the system, through additional metadata. This paper presents a module that gives some support to the operations of retrieving, analyzing, and importing LOs from a set of standard Learning Objects Repositories, acting as a recommending system. In particular, it is designed to support the teacher in the phases of (i) retrieval of LOs, through a keyword-based search mechanism applied to the selected repositories; (ii) analysis of the returned LOs, whose information is enriched by a concept of relevance metric, based on both the results of the searching operation and the data related to the previous use of the LOs in the courses managed by the Learning Management System; and (iii) LO importation into the course under construction

    Enhancing categorization of learning resources in the DAtaset of joint educational entities

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    The DAtaset of Joint Educational Entities (DAJEE) is a repository which hosts more than 20,000 educational resources crawled from the MOOC platform Coursera. The resources are divided per category according to the MOOC categorization on Coursera, which is, however, very shallow. This contribution focuses on a more meaningful categorization of the resources in DAJEE, tailored to their content. To achieve such goal, our approach enriches the resources in DAJEE with semantic entities by applying state-of-the-art semantic techniques. The result is a significant improvement of the categorization of the resources in DAJEE than the previous version
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