Computational methods and rural cultural & natural heritage: A review

Delve into the realm of computational methods applied to rural sustainable development and cultural heritage in Europe with a comprehensive exploration of innovative strategies and paradigms. This insightful article navigates the intricate landscape of heritage-based regeneration plans, shedding light on the transformative potential of rural areas as hubs for sustainable development. By scrutinising the interplay between computational methods and heritage preservation, the article uncovers a nuanced understanding of how technology can predict and optimise regeneration strategies.

The study meticulously categorises the types of cultural heritage applications, emphasising the importance of leveraging resources effectively to enhance usability and meet project requirements. Through a structured literature review, the authors dissect the intersection of computational methods and Cultural and Natural Heritage (CNH), with a particular focus on rural heritage. By differentiating between rural and urban use-cases and delineating the application areas within cultural and natural heritage, the review offers valuable insights into the evolving landscape of heritage preservation and regeneration.

Uncover the potential of linked data and ontologies in enriching the understanding and accessibility of cultural heritage assets. Explore how standard vocabularies and ontologies can revolutionise computational methods in the CNH domain, paving the way for enhanced research and preservation practices. Whether you are a seasoned professional or an enthusiast in European Heritage, this article provides a compelling narrative on the fusion of technology and heritage conservation, offering a glimpse into the future of sustainable development in rural landscapes.

Category
Green Transition, Heritage Preservation
Source
Ruritage
Author(s)
Francisco Barrientos, John Martin, Claudia de Luca, Simona Tondelli, Jaime Gómez-García-Bermejo, Eduardo Zalama Casanova
Language
English
Geography
Europe
Keywords
Natural Heritage, Cultural Heritage, Rural areas, Computational Methods, Modelling, Rural Sustainability, Linked Data, Urban Regeneration
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