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Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- List of figures -- List of tables -- List of contributors -- Preface -- PART I: Orientation -- 1 Data modeling in a digital humanities context: an introduction -- 2 A gentle introduction to data modeling -- PART II: Topics in digital humanities data modeling -- 3 How modeling standards evolve: the case of the TEI -- 4 How subjective is your model? -- 5 Modeling space in historical texts -- 6 Modeling time -- 7 Visualizing information -- 8 Ontologies and data modeling -- 9 Where semantics lies -- 10 Constraint -- 11 Modeling and annotating complex data structures -- 12 Linguistic and computational modeling in language science -- 13 Algorithmic modeling: or, modeling data we do not yet understand -- 14 Modeling the actual, simulating the possible -- 15 Playing for keeps: the role of modeling in the humanities -- PART III: Back matter -- 16 Glossary -- Index.

This book addresses the need of humanities scholars for whom technology and data now play a large role in their research and teaching and who need 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.