Week 2 topics

Week 2, day 1

• Don’t touch that keyboard! “Making your edition”: starting with research questions
• Where data modeling belongs in the work flow
• Markup as an expression of the data model; making the implicit explicit and machine-actionable
• The relationships among model, syntax, and markup semantics
• How modeling reduces iterations of the document analysis → schema development → markup pipeline
• Reconciling community-driven (prescriptive) and research-driven (descriptive) analysis; “how do I do this in X?” vs “how should I model this?”
• Modular development: the digital edition as a computational pipeline
• Modeling in plain text and in XML

Week 2, day 2

• Understanding modeling perspectives (tree, ranges, graph) and communities
• Modular development: thinking about digital edition development as a computational pipeline
• Beginning to tokenize texts
• Beginning to normalize texts

Week 2, day 3

• Understanding the principles of basic text transformations like normalization and how they serve different objectives
• Bringing together tokenization and normalization as individual pipeline steps and seeing how they can be implemented in the act of collation
• Normalize, tokenize, and collate text
• Fundamentals of TAG: hypergraph Modeling discontinuity

Week 2, day 4

• Grasping the concept of modelling text as trees and graphs Understanding annotation as a form of adding layers to text Varieties of layered editions
• Deeper discussion of the alignment step in the GM
• An awareness of computation to understand that we do near-matching late (in the pipeline) for reasons of efficiency

Week 2, day 5

• Visualization as part of the text processing pipeline: making decisions, selecting formats, interacting with, and producing visualizations
• Hands-on: a departure from Word Cloud
• Review of XQuery