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
List of Figures
List of Tables
List of Contributors
Preface by Julia Flanders and Fotis Jannidis
Part I: Orientation
1. Data Modeling in a Digital Humanities Context
Fotis Jannidis, Julia Flanders
2. A Gentle Introduction to Data Modeling
Fotis Jannidis, Julia Flanders
Part II: Topics in Digital Humanities Data Modeling
3. How Modeling Standards Evolve: The Case of the TEI
Lou Burnard
4. How Subjective is Your Model?
Elena Pierazzo
5. Modeling Space in Historical Texts
Ian Gregory, Chris Donaldson, Andrew Hardie, Paul Rayson
6. Modeling Time
Benjamin Schmidt
7. Visualizing Information
Isabel Meirelles
8. Ontologies and Data Modeling
Øyvind Eide, Christian-Emil Ore
9. Where Semantics Lies
Stephen Ramsay
10. Constraint
Julia Flanders, Fotis Jannidis, Wendell Piez
11. Complex Data Structures
Piotr Banski, Andreas Witt
12. Linguistic and Computational Modeling in Language Science
Elke Teich, Peter Fankhauser
13. Algorithmic Modeling: Or, Modeling Data We Do Not Yet Understand
Ted Underwood
14. Modeling the Actual, Simulating the Possible
Willard McCarty
15. Playing for Keeps: The Role of Modeling in the Humanities
C. M. Sperberg-McQueen
Part III: Back Matter
Keywords
Julia Flanders, Fotis Jannidis
Bibliography
Index
