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Machine Learning and Artificial Intelligence for Smart Visualization, Presentation, and Study of Architecture and Engineering in the Urban Environment: Visualizing City Progress

Machine Learning and Artificial Intelligence for Smart Visualization, Presentation, and Study of Architecture and Engineering in the Urban Environment: Visualizing City Progress

Andrea Giordano, Kristin Love Huffman, Rachele Angela Bernardello, Maurizio Perticarini, Alessandro Basso
Copyright: © 2022 |Pages: 17
ISBN13: 9781668448540|ISBN10: 1668448548|EISBN13: 9781668448557
DOI: 10.4018/978-1-6684-4854-0.ch009
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MLA

Giordano, Andrea, et al. "Machine Learning and Artificial Intelligence for Smart Visualization, Presentation, and Study of Architecture and Engineering in the Urban Environment: Visualizing City Progress." Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0, edited by Francesca Maria Ugliotti and Anna Osello, IGI Global, 2022, pp. 184-200. https://doi.org/10.4018/978-1-6684-4854-0.ch009

APA

Giordano, A., Huffman, K. L., Bernardello, R. A., Perticarini, M., & Basso, A. (2022). Machine Learning and Artificial Intelligence for Smart Visualization, Presentation, and Study of Architecture and Engineering in the Urban Environment: Visualizing City Progress. In F. Ugliotti & A. Osello (Eds.), Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0 (pp. 184-200). IGI Global. https://doi.org/10.4018/978-1-6684-4854-0.ch009

Chicago

Giordano, Andrea, et al. "Machine Learning and Artificial Intelligence for Smart Visualization, Presentation, and Study of Architecture and Engineering in the Urban Environment: Visualizing City Progress." In Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0, edited by Francesca Maria Ugliotti and Anna Osello, 184-200. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-4854-0.ch009

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Abstract

This research experiments the theme of cultural heritage (CH) in architectural/engineering fields, located in urban space. Primary sources and new tactics for digital reconstruction allow interactive contextualization-access to often inaccessible data creating pedagogical apps for spreading. Digital efforts are central, in recent years based on new technological opportunities that emerged from big data, Semantic Web technologies, and exponential growth of data accessible through digital libraries – EUROPEANA. Also, the use of data-based BIM allowed the gaining of high-level semantic concepts. Then, interdisciplinary collaborations between ICT and humanities disciplines are crucial for the advance of workflows that allow research on CH to exploit machine learning approaches. This chapter traces the visualizing cities progress, involving Duke and Padua University. This initiative embraces the analysis of urban systems to reveal with diverse methods how documentation/understanding of cultural sites complexities is part of a multimedia process that includes digital visualization of CH.

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