"Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context."--Provided by publisher.

Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.

Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.

A necessary volume of essays working to decolonize the digital humanities Often conceived of as an all-inclusive “big tent,” digital humanities has in fact been troubled by a lack of perspectives beyond Westernized and Anglophone contexts and assumptions. This latest collection in the Debates in the Digital Humanities series seeks to address this deficit in the field. Focused on thought and work that has been underappreciated for linguistic, cultural, or geopolitical reasons, contributors showcase alternative histories and perspectives that detail the rise of the digital humanities in the Global South and other “invisible” contexts and explore the implications of a globally diverse digital humanities. Advancing a vision of the digital humanities as a space where we can reimagine basic questions about our cultural and historical development, this volume challenges the field to undertake innovation and reform. Contributors: Maria José Afanador-Llach, U de los Andes, Bogotá; Maira E. Álvarez, U of Houston; Purbasha Auddy, Jadavpur U; Diana Barreto Ávila, U of British Columbia; Deepti Bharthur, IT for Change; Sayan Bhattacharyya, Singapore U of Technology and Design; Anastasia Bonch-Osmolovskaya, National Research U Higher School of Economics; Jing Chen, Nanjing U; Carlton Clark, Kazimieras Simonavičius U, Vilnius; Carolina Dalla Chiesa, Erasmus U, Rotterdam; Gimena del Rio Riande, Institute of Bibliographic Research and Textual Criticism; Leonardo Foletto, U of São Paulo; Rahul K. Gairola, Murdoch U; Sofia Gavrilova, Leibniz Institute for Regional Geography; Andre Goodrich, North-West U; Anita Gurumurthy, IT for Change; Aliz Horvath, Eötvös Loránd U; Igor Kim, Russian Academy of Sciences; Inna Kizhner, Siberian Federal U; Cédric Leterme, Tricontinental Center; Andres Lombana-Bermudez, Pontificia, U Javeriana, Bogotá; Lev Manovich, City U of New York; Itay Marienberg-Milikowsky, Ben-Gurion U of the Negev; Maciej Maryl, Polish Academy of Sciences; Nirmala Menon, Indian Institute of Technology, Indore; Boris Orekhov, National Research U Higher School of Economics; Ernesto Priego, U of London; Sylvia Fernández Quintanilla, U of Kansas; Nuria Rodríguez-Ortega, U of Málaga; Steffen Roth, U of Turku; Dibyadyuti Roy, Indian Institute of Technology, Jodhpur; Maxim Rumyantsev, Siberian Federal U; Puthiya Purayil Sneha, Centre for Internet and Society, Bengaluru; Juan Steyn, South African Centre for Digital Language Resources; Melissa Terras, U of Edinburgh; Ernesto Miranda Trigueros, U of the Cloister of Sor Juana; Lik Hang Tsui, City U of Hong Kong; Tim Unwin, U of London; Lei Zhang, U of Wisconsin–La Crosse.

The Bloomsbury Handbook to the Digital Humanities reconsiders key debates, methods, possibilities, and failings from across the digital humanities, offering a timely interrogation of the present and future of the arts and humanities in the digital age. Comprising 43 essays from some of the field's leading scholars and practitioners, this comprehensive collection examines, among its many subjects, the emergence and ongoing development of DH, postcolonial digital humanities, feminist digital humanities, race and DH, multilingual digital humanities, media studies as DH, the failings of DH, critical digital humanities, the future of text encoding, cultural analytics, natural language processing, open access and digital publishing, digital cultural heritage, archiving and editing, sustainability, DH pedagogy, labour, artificial intelligence, the cultural economy, and the role of the digital humanities in climate change. The Bloomsbury Handbook to the Digital Humanities: Surveys key contemporary debates within DH, focusing on pressing issues of perspective, methodology, access, capacity, and sustainability. Reconsiders and reimagines the past, present, and future of the digital humanities. Features an intuitive structure which divides topics across five sections: “Perspectives & Polemics”, “Methods, Tools & Techniques”, “Public Digital Humanities”, “Institutional Contexts”, and “DH Futures”. Comprehensive in scope and accessibility written, this book is essential reading for students, scholars, and practitioners working across the digital humanities and wider arts and humanities. Featuring contributions from pre-eminent scholars and radical thinkers both established and emerging, The Bloomsbury Handbook to the Digital Humanities should long serve as a roadmap through the myriad formulations, methodologies, opportunities, and limitations of DH. Comprehensive in its scope, pithy in style yet forensic in its scholarship, this book is essential reading for students, scholars, and practitioners working across the digital humanities, whatever DH might be, and whatever DH might become.

Information and Knowledge Organisation explores the role of knowledge organisation in the digital humanities. By focusing on how information is described, represented and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities. Including contributions from Asia, Australia, Europe, North America and the Middle East, the volume explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. With a particular focus on the digital worlds of cultural heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations and network analysis. Other topics covered include: semantic technologies, conceptual schemas and data augmentation, digital scholarly editing, metadata creation, browsing, visualisation and relevance ranking. Most importantly, perhaps, the book provides a starting point for discussions about the impact of information and knowledge organisation and related tools on the methodologies used in the Digital Humanities field. Information and Knowledge Organisation is intended for use by researchers, students and professionals interested in the role information and knowledge organisation plays in the Digital Humanities. It will be essential reading for those working in library and information science, computer science and across the humanities. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.