2023 Call for Papers
This year's theme is markup quality assurance.
Markup itself, of course, is about adding semantics and precision to content, allowing us to author, process, and publish information faster while avoiding the pitfalls of the many manual tweaks necessary in unstructured word processing. But automation is not without its problems:
- How do we express quality in markup? What is "good" markup? Or "bad", for that matter?
- How do we ensure quality at the end point of a transform?
- How do we measure the correctness of an iXML grammar?
- How do we test the impact of changes to a processing pipeline?
But remember, markup is not just XML. How do you measure quality in Markdown documents? JSON? YAML? Have we learned anything since SGML?
As always, we welcome any markup-related abstract of interest - markup QA is an important area for us all, but by no means the only one.
Abstract submission is now closed. What you should do instead is to check out the programme and register.