Data Analytics For Cultural Heritage
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| Author | : Abdelhak Belhi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783030667788 |
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.
| Author | : Abdelhak Belhi |
| Publisher | : Springer Nature |
| Total Pages | : 288 |
| Release | : 2021-03-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3030667774 |
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.
| Author | : Gabriele Bitelli |
| Publisher | : MDPI |
| Total Pages | : 276 |
| Release | : 2020-03-16 |
| Genre | : Science |
| ISBN | : 3039217402 |
Advances in the knowledge of the tangible components (position, size, shape) and intangible components (identity, habits) of an historic building or site involves fundamental and complex tasks in any project related to the conservation of cultural heritage (CH). In recent years, new geotechnologies have proven their usefulness and added value to the field of cultural heritage (CH) in the tasks of recording, modeling, conserving, and visualizing. In addition, current developments in building information modeling (HBIM), allow integration and simulation of different sources of information, generating a digital twin of any complex CH construction. As a result, experts in the area have increased the number of available sensors and methodologies. However, the quick evolution of geospatial technologies makes it necessary to revise their use, integration, and application in CH. This process is difficult to adopt, due to the new options which are opened for the study, analysis, management, and valorization of CH. Therefore, the aim of the present Special Issue is to cover the latest relevant topics, trends, and best practices in geospatial technologies and processing methodologies for CH sites and scenarios as well as to introduce the new tendencies. This book originates from the Special Issue “Data Acquisition and Processing in Cultural Heritage”, focusing primarily on data and sensor integration for CH; documentation/restoration in CH; heritage 3D documentation and modeling of complex CH sites; drone inspections in CH; software development in CH; and augmented reality in CH. It is hoped that this book will provide the advice and guidance required for any CH professional, making the best possible use of these sensors and methods in CH.
| Author | : Shalin Hai-Jew |
| Publisher | : Springer |
| Total Pages | : 304 |
| Release | : 2017-05-03 |
| Genre | : Computers |
| ISBN | : 3319544993 |
This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.
| Author | : Ed Jones |
| Publisher | : ALA Editions |
| Total Pages | : 0 |
| Release | : 2016-07-14 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9780838914397 |
In this book, the Association of Library Collections and Technical Services (ALCTS) gathers a stellar list of contributors to help readers understand linked data concepts by examining practice and projects based in familiar concepts like authority control.
| Author | : Mohammed Atiquzzaman |
| Publisher | : Springer Nature |
| Total Pages | : 1314 |
| Release | : 2021-12-09 |
| Genre | : Technology & Engineering |
| ISBN | : 9811674663 |
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
| Author | : Luigia Sabbatini |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 604 |
| Release | : 2020-02-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3110456486 |
Chemical Analysis provides non invasive and micro-analytical techniques for the investigation of cultural heritage materials. The tools and techniques, discussed by experts in the field, are of universal, sensitive and multi-component nature.
| Author | : Oliver Grau |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 316 |
| Release | : 2017-09-11 |
| Genre | : Art |
| ISBN | : 3110529378 |
The digital revolution fundamentally changed how cultural heritage is created, documented, analyzed, and preserved. The book focuses on this transformation’s impact. How must museums and archives meet the challenges of digitally generated cultures and how does the digital revolution influence traditional object collection, research, and education? How do digital technologies and digital art and culture affect our interaction with images? Leading international experts from various disciplines break new ground. Pioneering interdisciplinary research results collected in this book are relevant to education, curators and archivists in the arts and culture sector and in the digital humanities.
| Author | : Ben Showers |
| Publisher | : Facet Publishing |
| Total Pages | : 209 |
| Release | : 2015-04-30 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1856049655 |
This book will inform and inspire librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience. With the wealth of data available to library and cultural heritage institutions, analytics are the key to understanding their users and improving the systems and services they offer. Using case studies to provide real-life examples of current developments and services, and packed full of practical advice and guidance for libraries looking to realize the value of their data, this will be an essential guide for librarians and information professionals. Library Analytics and Metrics brings together a group of internationally recognized experts to explore some of the key issues in the exploitation of data analytics and metrics in the library and cultural heritage sectors, including: The role of data in helping inform collections management and strategy Approaches to collecting, analyzing and utilizing data Using analytics to develop new services and improve the user experience Using ethnographic methodologies to better understand user behaviours The opportunities of library data as ‘big data’ The role of ‘small data’ in delivering meaningful interventions for users Practical advice on managing the risks and ethics of data analytics How analytics can help uncover new types of impact and value for institutions and organizations. Readership: This book will be an invaluable resource for librarians and library directors interested in developing a data-driven approach to their service provision and decision making; students on library and information science courses; and managers and practitioners in other cultural heritage sectors such as museums, archives and galleries.
| Author | : Tiziana Russo Spena |
| Publisher | : Springer Nature |
| Total Pages | : 226 |
| Release | : 2021-03-25 |
| Genre | : Business & Economics |
| ISBN | : 3030633764 |
This book devises an alternative conceptual framework to understand digital transformation in the cultural heritage sector. It achieves this by placing a high importance on the role of technology in the strategic process of modeling and developing cultural services in the digital era. The focus is on how marketing activities and customer processes are being transformed by digital technologies to create better value, which can also be communicated to customers through an engaged and personalized approach. Much of the digital debate in cultural heritage is still in infancy. Some existing studies are anecdotal and often developed within the domain of established research streams, including studies with some technological aspects addressed partially and from an episodic or periodic perspective. Moreover, the critical changes that have emerged in the cultural management landscape are yet to be highlighted. This book fills that gap and provides a perspective on the cultural heritage sector, which uses the new social and technology landscape to describe the digital transformation in cultural heritage sectors. The authors highlight an inclusive perspective that addresses marketing strategy in the digital era as a proactive, technology-enabled process by which firms collaborate with customers to jointly create, communicate, deliver, and sustain experience and value co-creation.
