The shape of data in digital humanities : modeling texts and text-based resources
Author(s)
Bibliographic Information
The shape of data in digital humanities : modeling texts and text-based resources
（Digital research in the arts and humanities）
Routledge, 2020
- : pbk
Available at 2 libraries
Note
First published: 2019
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
- Contents
- List of Figures
- List of Tables
- List of Contributors
- Preface by Julia Flanders and Fotis Jannidis
- Part I: Orientation
- Data Modeling in a Digital Humanities Context
- Julia Flanders, Northeastern University
- Fotis Jannidis, University of Wurzburg
- A Gentle Introduction to Data Modeling
- Fotis Jannidis, University of Wurzburg
- Julia Flanders, Northeastern University
- Part II: Topics in Digital Humanities Data Modeling
- How Modeling Standards Evolve: The Case of the TEI
- Lou Burnard, Oxford University
- How Subjective is Your Model?
- Elena Pierazzo, University of Grenoble 3 "Stendhal"
- Modeling Space in Historical Texts
- Ian Gregory, Lancaster University
- Chris Donaldson, University of Birmingham
- Andrew Hardie, Lancaster University
- Paul Rayson, Lancaster University
- Modeling Time
- Benjamin Schmidt, Northeastern University
- Visualizing Information
- Isabel Meirelles, OCAD University
- Ontologies and Data Modeling
- Oyvind Eide, University of Passau
- Christian-Emil Ore, University of Oslo
- Where Semantics Lies
- Stephen Ramsay, University of Nebraska-Lincoln
- Constraint
- Julia Flanders, Northeastern University
- Fotis Jannidis, University of Wurzburg
- Wendell Piez, Piez Consulting Services
- Complex Data Structures
- Andreas Witt, Institute for German Language Mannheim
- Piotr Banski, University of Warsaw, Institute for German Language Mannheim
- Linguistic and Computational Modeling in Language Science
- Elke Teich, University of Saarland
- Peter Fankhauser, Institute for German Language Mannheim
- Algorithmic Modeling: Or, Modeling Data We Do Not Yet Understand
- Ted Underwood, University of Illinois, Urbana-Champaign
- Modeling the Actual, Simulating the Possible
- Willard McCarty, King's College London and University of Western Sydney
- 15. Playing for Keeps: The Role of Modeling in the Humanities
- C. M. Sperberg-McQueen, Black Mesa Technologies LLC
- Part III: Back Matter
- Keywords
- Julia Flanders, Northeastern University
- Fotis Jannidis, University of Wurzburg
- Bibliography
- Index
by "Nielsen BookData"