Data Analytics For Cultural Heritage

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Data Analytics for Cultural Heritage

Abdelhak Belhi,Abdelaziz Bouras,Abdulaziz Khalid Al-Ali,Abdul Hamid Sadka
Data Analytics for Cultural Heritage Book PDF

Author : Abdelhak Belhi,Abdelaziz Bouras,Abdulaziz Khalid Al-Ali,Abdul Hamid Sadka
Publisher : Springer Nature
Page : 288 pages
File Size : 54,7 Mb
Release : 2021-03-25
Category : Technology & Engineering
ISBN : 9783030667771

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Data Analytics for Cultural Heritage by Abdelhak Belhi,Abdelaziz Bouras,Abdulaziz Khalid Al-Ali,Abdul Hamid Sadka Pdf

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.

Big Data Analytics for Cultural Heritage

Manolis Wallace,Vassilis Poulopoulos,Angeliki Antoniou
Big Data Analytics for Cultural Heritage Book PDF

Author : Manolis Wallace,Vassilis Poulopoulos,Angeliki Antoniou
Publisher : Mdpi AG
Page : 0 pages
File Size : 48,8 Mb
Release : 2023-01-28
Category : Computers
ISBN : 3036563261

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Big Data Analytics for Cultural Heritage by Manolis Wallace,Vassilis Poulopoulos,Angeliki Antoniou Pdf

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 experiences from the adaptation and/or application of general-purpose solutions in the domain of cultural heritage. The aim was to gather solutions, but also to summarise the lessons learnt, methodologies, and good practices that researchers and practitioners can use as a basis for their own work in the domain.

Data Analytics in Digital Humanities

Shalin Hai-Jew
Data Analytics in Digital Humanities Book PDF

Author : Shalin Hai-Jew
Publisher : Springer
Page : 295 pages
File Size : 50,6 Mb
Release : 2017-05-03
Category : Computers
ISBN : 9783319544991

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Data Analytics in Digital Humanities by Shalin Hai-Jew Pdf

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.

Data Acquisition and Processing in Cultural Heritage

Gabriele Bitelli,Fulvio Rinaudo,Diego Gonzalez-Aguilera,Pierre Grussenmeyer
Data Acquisition and Processing in Cultural Heritage Book PDF

Author : Gabriele Bitelli,Fulvio Rinaudo,Diego Gonzalez-Aguilera,Pierre Grussenmeyer
Publisher : MDPI
Page : 276 pages
File Size : 43,8 Mb
Release : 2020-03-16
Category : Science
ISBN : 9783039217403

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Data Acquisition and Processing in Cultural Heritage by Gabriele Bitelli,Fulvio Rinaudo,Diego Gonzalez-Aguilera,Pierre Grussenmeyer Pdf

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.

Digital Cultural Heritage

Horst Kremers
Digital Cultural Heritage Book PDF

Author : Horst Kremers
Publisher : Springer
Page : 447 pages
File Size : 46,7 Mb
Release : 2019-06-21
Category : Science
ISBN : 9783030152000

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Digital Cultural Heritage by Horst Kremers Pdf

This book provides an overview of various application spheres and supports further innovations needed in information management and in the processes of knowledge generation. The professions, organizations and scientific associations involved are unusually challenged by the complexity of the data situation. Cartography has always been the central field of application for georeferencing digital cultural heritage (DCH) objects. It is particularly important in enabling spatial relation analysis between any number of DCH objects or of their granular details. In addition to the pure geometric aspects, the cognitive relations that lead to knowledge representation and derivation of innovative use processes are also of increasing importance. Further, there is a societal demand for spatial reference and analytics (e.g. the extensive use of cognitive concepts of "map" and "atlas" for a variety of social topics in the media). There is a huge geometrical-logical-cognitive potential for complex, multimedia, digital-cultural-heritage databases and stakeholders expect handling, transmission and processing operations with guaranteed long-term availability for all other stakeholders. In the future, whole areas of digital multimedia databases will need to be processed to further our understanding of historical and cultural contexts. This is an important concern for the information society and presents significant challenges for cartography in all these domains. This book collects innovative technical and scientific work on the entire process of object digitization, including detail extraction, archiving and interoperability of multimedia DCH data.

Linked Data for Cultural Heritage

Ed Jones,Michele Seikel
Linked Data for Cultural Heritage Book PDF

Author : Ed Jones,Michele Seikel
Publisher : ALA Editions
Page : 0 pages
File Size : 45,7 Mb
Release : 2016-07-14
Category : Language Arts & Disciplines
ISBN : 083891439X

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Linked Data for Cultural Heritage by Ed Jones,Michele Seikel Pdf

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.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John MacIntyre,Jinghua Zhao,Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John MacIntyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 907 pages
File Size : 52,7 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9783030627430

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John MacIntyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Digging into Software Knowledge Generation in Cultural Heritage

Patricia Martin-Rodilla
Digging into Software Knowledge Generation in Cultural Heritage Book PDF

Author : Patricia Martin-Rodilla
Publisher : Springer
Page : 320 pages
File Size : 42,5 Mb
Release : 2017-10-14
Category : Computers
ISBN : 9783319691886

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Digging into Software Knowledge Generation in Cultural Heritage by Patricia Martin-Rodilla Pdf

This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information— a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure. Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John Macintyre,Jinghua Zhao,Xiaomeng Ma
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John Macintyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 999 pages
File Size : 47,8 Mb
Release : 2021-11-02
Category : Computers
ISBN : 9783030895112

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John Macintyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City

Mohammed Atiquzzaman,Neil Yen,Zheng Xu
2021 International Conference on Big Data Analytics for Cyber Physical System in Smart City Book PDF

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 1314 pages
File Size : 45,8 Mb
Release : 2021-12-09
Category : Technology & Engineering
ISBN : 9789811674662

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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

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.

Open Heritage Data

Henriette Roued-Cunliffe
Open Heritage Data Book PDF

Author : Henriette Roued-Cunliffe
Publisher : Facet Publishing
Page : 176 pages
File Size : 53,6 Mb
Release : 2020-06-30
Category : Language Arts & Disciplines
ISBN : 9781783303595

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Open Heritage Data by Henriette Roued-Cunliffe Pdf

Digital heritage can mean many things, from building a database on Egyptian textiles to interacting with family historians over Facebook. However, it is rare to see professionals with a heritage background working practically with the heritage datasets in their charge. Many institutions who have the resources to do so, leave this work to computer programmers, missing the opportunity to share their knowledge and passion for heritage through innovative technology. Open Heritage Data: An introduction to research, publishing and programming with open data in the heritage sector has been written for practitioners, researchers and students working in the GLAM (Galleries, Libraries, Archives and Museums) sector who do not have a computer science background, but who want to work more confidently with heritage data. It combines current research in open data with the author’s extensive experience in coding and teaching coding to provide a step-by-step guide to working actively with the increasing amounts of data available. Coverage includes: • an introduction to open data as a next step in heritage mediation • an overview of the laws most relevant to open heritage data • an Open Heritage Data Model and examples of how institutions publish heritage data • an exploration of use and reuse of heritage data • tutorials on visualising and combining heritage datasets and on using heritage data for research. Featuring sample code, case examples from around the world and step-by-step technical tutorials, this book will be a valuable resource for anyone in the GLAM sector involved in, or who wants to be involved in creating, publishing, using and reusing open heritage data.

Museum and Archive on the Move

Oliver Grau
Museum and Archive on the Move Book PDF

Author : Oliver Grau
Publisher : Walter de Gruyter GmbH & Co KG
Page : 316 pages
File Size : 48,5 Mb
Release : 2017-09-11
Category : Art
ISBN : 9783110529371

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Museum and Archive on the Move by Oliver Grau Pdf

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.

Exploring Big Historical Data: The Historian's Macroscope (Second Edition)

Shawn Graham,Ian Milligan,Scott B Weingart,Kimberley Martin
Exploring Big Historical Data The Historian s Macroscope Second Edition Book PDF

Author : Shawn Graham,Ian Milligan,Scott B Weingart,Kimberley Martin
Publisher : World Scientific
Page : 305 pages
File Size : 53,5 Mb
Release : 2022-02-24
Category : Computers
ISBN : 9789811243059

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Exploring Big Historical Data: The Historian's Macroscope (Second Edition) by Shawn Graham,Ian Milligan,Scott B Weingart,Kimberley Martin Pdf

Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.

Data-Driven Intelligent Business Sustainability

Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Data Driven Intelligent Business Sustainability Book PDF

Author : Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Publisher : IGI Global
Page : 521 pages
File Size : 45,9 Mb
Release : 2023-12-05
Category : Computers
ISBN : 9798369300503

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Data-Driven Intelligent Business Sustainability by Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R. Pdf

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.

Advances on Intelligent Computing and Data Science

Faisal Saeed,Fathey Mohammed,Errais Mohammed,Tawfik Al-Hadhrami,Mohammed Al-Sarem
Advances on Intelligent Computing and Data Science Book PDF

Author : Faisal Saeed,Fathey Mohammed,Errais Mohammed,Tawfik Al-Hadhrami,Mohammed Al-Sarem
Publisher : Springer Nature
Page : 705 pages
File Size : 47,6 Mb
Release : 2023-08-16
Category : Computers
ISBN : 9783031362583

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Advances on Intelligent Computing and Data Science by Faisal Saeed,Fathey Mohammed,Errais Mohammed,Tawfik Al-Hadhrami,Mohammed Al-Sarem Pdf

This book presents the papers included in the proceedings of the 3rd International Conference of Advanced Computing and Informatics (ICACin’22) that was held in Casablanca, Morocco, on October 15–16, 2022. A total of 98 papers were submitted to the conference, but only 60 papers were accepted and published in this book with an acceptance rate of 61%. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT) and smart cities, information security, cloud computing and networking, and computational informatics.