Data Analytics for Cultural Heritage

Data Analytics for Cultural Heritage
Author: Abdelhak Belhi
Publisher: Springer Nature
Total Pages: 288
Release: 2021-03-25
Genre: Technology & Engineering
ISBN: 3030667774

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This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas.


Data Analytics for Cultural Heritage
Language: en
Pages: 288
Authors: Abdelhak Belhi
Categories: Technology & Engineering
Type: BOOK - Published: 2021-03-25 - Publisher: Springer Nature

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This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultura
Data Analytics in Digital Humanities
Language: en
Pages: 304
Authors: Shalin Hai-Jew
Categories: Computers
Type: BOOK - Published: 2017-05-03 - Publisher: Springer

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This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizati
Big Data Analytics for Cultural Heritage
Language: en
Pages: 0
Authors: Manolis Wallace
Categories: Computers
Type: BOOK - Published: 2023-01-28 - Publisher: Mdpi AG

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In this edition, we focused on big data analytics methods and tools that have been specifically developed for the domain of cultural heritage, as well as on exp
Data Acquisition and Processing in Cultural Heritage
Language: en
Pages: 276
Authors: Gabriele Bitelli
Categories: Science
Type: BOOK - Published: 2020-03-16 - Publisher: MDPI

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Advances in the knowledge of the tangible components (position, size, shape) and intangible components (identity, habits) of an historic building or site involv
Digital Cultural Heritage
Language: en
Pages: 447
Authors: Horst Kremers
Categories: Science
Type: BOOK - Published: 2019-06-21 - Publisher: Springer

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This book provides an overview of various application spheres and supports further innovations needed in information management and in the processes of knowledg