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Data analytics for cultural heritage...

Belhi, Abdelhak.

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Data analytics for cultural heritage = current trends and concepts /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data analytics for cultural heritage/ edited by Abdelhak Belhi ... [et al.].
其他題名:	current trends and concepts /
其他作者:	Belhi, Abdelhak.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xv, 280 p. :ill., digital ;24 cm.
內容註:	Cultural data categorization -- Cultural heritage data sets -- Historical manuscript analysis -- Cultural repository analytics -- Cultural image in painting and completion -- Cultural image super resolution and visual curation -- Cultural object marching and link retrieval -- Natural language processing in the cultural and historical contexts -- Cultural ontology learning -- Data analytics applications for attractiveness and targeted advertising in cultural heritage.
Contained By:	Springer Nature eBook
標題:	Cultural property - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-66777-1
ISBN:	9783030667771

Data analytics for cultural heritage = current trends and concepts /
Data analytics for cultural heritagecurrent trends and concepts /[electronic resource] :edited by Abdelhak Belhi ... [et al.]. - Cham :Springer International Publishing :2021. - xv, 280 p. :ill., digital ;24 cm.

Cultural data categorization -- Cultural heritage data sets -- Historical manuscript analysis -- Cultural repository analytics -- Cultural image in painting and completion -- Cultural image super resolution and visual curation -- Cultural object marching and link retrieval -- Natural language processing in the cultural and historical contexts -- Cultural ontology learning -- Data analytics applications for attractiveness and targeted advertising in cultural heritage.

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.

ISBN: 9783030667771

Standard No.: 10.1007/978-3-030-66777-1doiSubjects--Topical Terms:

3270368
Cultural property
--Data processing.

LC Class. No.: CC135 / .D38 2021

Dewey Class. No.: 930.10285

Data analytics for cultural heritage = current trends and concepts /
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