LavaCon Proposal: Making the Most of the New Math Specializations in DITA 1.3
Download as PPTX, PDF0 likes334 views
The document outlines a lecture on leveraging new math specializations in DITA 1.3, focusing on the implementation and benefits of MathML. It highlights advantages such as accessibility and searchability, along with tools to support MathML in DITA outputs. Presenters include Autumn Cuellar and Aaron Guigar from Design Science.
LavaCon Proposal: Making the Most of the New Math Specializations in DITA 1.3
- 1. Presentation Type: Lecture Making the Most of the New Math Specializations in DITA 1.3
- 2. Description • Math is coming to DITA 1.3 • Decrease time to implement math in DITA • Capitalize on XML investment with MathML • Overview of DITA 1.3 Equation Specialization • Introduction to DITA 1.3 MathML Specialization • Benefits of MathML: • Similar to XML benefits • Accessibility • Searchability • Tools for MathML in DITA outputs
- 3. Presenters • Autumn Cuellar • MathML Evangelist, Design Science • Aaron Guigar • Business Development Manager, Design Science
Editor's Notes
- #3: Although many organizations have long been using MathML with DITA, DITA 1.3 will include new math specializations standardizing inclusion of mathematics in DITA content. This is great news if you have any math in your content. It means that the amount of time needed to implement DITA will be shorter, and it also allows you to capitalize on your transition to XML for mathematical content. Using MathML in DITA, you'll be able to make document-wide style changes to your equations, localize your mathematical content, and re-use or adapt the mathematics as needed. During this presentation, we'll provide an overview of the new MathML and equation specializations, information on how you can get started using these specializations today, and your options for handling MathML in various outputs using the DITA Open Toolkit.
- #4: Autumn Cuellar has had a long and happy history with mathematics and XML. Her first degree is in Biomedical Engineering, the obtainment of which involved a love/hate relationship with Calculus. This degree led to a role as a researcher at the University of Auckland in New Zealand. There Autumn co-wrote a metadata specification, explored the use of ontologies for advancing biological research, and developed CellML, an XML language for describing biological models. Since leaving the academic world, Autumn has been delighted to share her enthusiasm for XML in technical applications. At Design Science she works with publishers, engineers, educators, and programmers to implement MathML in XML publishing workflows. Aaron Guigar is the Business Development Manager at Design Science. Aaron's primary focus is to build awareness of MathML and Design Science's MathFlow software. He gets fired up about math, and is excited to work with content strategists to learn their processes and challenges. Aaron graduated from Lawrence University of Appleton Wisconsin with a BA, majoring in Computer Science and Mathematics. You can read more about Aaron on Linkedin (www.linkedin.com/in/aaronguigar/)