This curriculum vitae outlines the experience and qualifications of Jurriaan Brandsma as a senior IT architect specializing in cloud, infrastructure, and integration technologies. Over 20 years of experience includes roles as an IT architect, consulting IT architect, and senior architect at IBM and TIBCO. Areas of expertise include integration, security, cloud computing, and infrastructure design. Relevant projects include designing integration environments, gateways, and cloud solutions for banking, logistics, telecom, and government organizations.
Automated Equation Processing and Rendering Workflows for PublishersSanders Kleinfeld
Typesetting mathematical equations for print/digital outputs is currently a serious pain point for many publishers. Two common workflow solutions are to either:
1. Use a specialized typesetting tool with rich mathematical rendering support (e.g., LaTeX)
2. Convert all equations to images for use in traditional desktop publishing tools (e.g., InDesign)
However, there are key downsides to both these approaches. For publishers that don’t focus exclusively on math and science titles, spinning up a LaTeX-based production program may require too much overhead in time/resources to justify the investment. And converting equations to images is not ideal either, as it decreases ease of maintainability and poses challenges for digital outputs in terms of both scalability for different form factors and accessibility for visually impaired readers.
As a tech publisher that produces many titles a year with mathematical content, O’Reilly Media was unsatisfied with the compromises entailed by the above workflow choices, and developed an alternative solution: a mathematics API called “STIX” that slots into its XML/
HTML-based single-source workflow.
Automated Equation Breaking: Making Equations ResponsiveAhmed Hindawi
MathML provides a standard way to markup mathematical equations using XML and is currently widely used in the scholarly publishing industry. MathML 3.0 provides some basic automatic line breaking functionality and allows the insertion of different breaking and alignment points to break up a long mathematical formula into several lines to suit a particular text or screen width. However, this is not only tedious, time consuming, and subject to human error, but it essentially provides only a single way to break a particular formula to suit a predetermined text or screen width. In order to address the limitations of manually inserted breaking and alignment points in MathML equations, we developed an automatic equation breaker that breaks the same mathematical formula in different ways to suit a range of text or screen widths. We have also developed a tool that uses this automatic equation breaker to make mathematical equations as responsive as other native HTML elements on a truly responsive website.
Markup languages and warp-speed documentationLois Patterson
The presentation discusses how software development has moved towards more frequent releases through DevOps practices. This requires documentation to also be updated quickly. Markup languages can help by allowing many contributors to collaborate easily on documentation. Specific markup languages mentioned include reStructuredText and Markdown, which can be processed by tools like Sphinx to generate documentation from plain text files. The presentation demonstrates how to use reStructuredText and emphasizes that markup languages, collaborative tools like GitHub, and automation are key to supporting modern rapid software development practices.
Mogwaï: A Framework to Handle Complex Queries on Large ModelsGwendal Daniel
The document introduces Mogwaï, a framework for efficiently querying large models stored in graph databases. It generates queries in Gremlin, a graph traversal language, from queries written in OCL. This allows complex queries to be executed directly on the database without loading the entire model into memory. The framework maps OCL expressions to Gremlin steps and merges the steps into a traversal. Benchmarks show Mogwaï can execute queries up to 20 times faster and use up to 75 times less memory compared to other approaches. Future work includes integrating Mogwaï into modeling tools and supporting additional databases.
The document summarizes and compares different graphical user interface (GUI) tools for inputting mathematics. It provides an overview of tools such as MathType, Mathtran, Edoboard, Wiris, Sitmo, Detexify, the Math Input Panel for Windows 7, Word 2007, Math Magic, Formulator, and Publicon. For each tool, it lists pros and cons in point form. The document concludes by suggesting which tools may be best suited for different use cases such as use in a learning management system like Moodle, web-based equation editing, advanced desktop applications, live math tutoring, handwriting recognition, or a free simple desktop equation editor.
UMLtoGraphDB: Mapping Conceptual Schemas to Graph DatabasesGwendal Daniel
UMLtoGraphDB presentation at ER2016. Related article available online at https://hal.archives-ouvertes.fr/hal-01344015/document
Related post on modeling-languages.com: http://modeling-languages.com/uml-to-nosql-graph-database/
The document discusses metadata strategies for DITA content at an enterprise scale. It introduces the [A] Content Intelligence Framework, which separates structure and semantics using a Master Content Model and Master Semantic Model. The framework maximizes investments in DITA by enabling metadata-enriched, structured content to be delivered across multiple channels. The document also reviews DITA's built-in metadata and semantic mechanisms and their strengths and weaknesses for implementing metadata at scale.
Keith Schengili-Roberts - The Rise of SME within Technical CommunicationsLavaConConference
In this session attendees will learn:
Technical options for going mobile, including responsive design, converting traditional online help to an app, and creating a “true” app using RMAD (Rapid Mobile App Development) tools. The pros and cons of each approach and some of the tools available for creating each option.
Anticipated changes in content creation practices and workflows including the elimination of local formatting, adoption of a “mobile first” philosophy, rethinking the role of tables, and more.
How company issues like terminology standardization, strategic benefit, politics, and the development of metrics and standards can help or hinder a move to mobile.
The document discusses recent developments in standards for displaying mathematical equations online and in ebooks, including MathML, HTML5, and EPUB 3. While support for MathML is growing among browsers and e-readers, there are still gaps that can be filled through MathJax, an open-source JavaScript library. MathML offers benefits like searchability, localization, accessibility, and interoperability for math content on the web and in ebooks.
Using Markdown and Lightweight DITA in a Collaborative EnvironmentIXIASOFT
Using Markdown and Lightweight DITA in a Collaborative Environment, by Keith Schengili-Roberts, IXIASOFT DITA Evangelist and Market Researcher and Leigh W. White, IXIASOFT DITA Specialist, at the CIDM CMS DITA North America, April 2017
Presented at the IXIASOFT User Conference 2015. Kristen James Eberlein and Keith Schengili-Roberts discuss the way the DITA standard has evolved over the last 10 years, where it's at today, and what can be expected in the future.
The document discusses how Helm can help manage Kubernetes deployments by bundling manifests into reusable charts. It describes how Helm works by initializing a Tiller server and installing charts which generate Kubernetes resources. The document outlines best practices for writing charts, including using templates, values, and dependencies. It also provides tips for tools like kubeval and kubetest that can help validate charts.
An exploration of why writers coming to DITA tend to find DITA hard and what we and they can do to help ease the transition from non-DITA to DITA-based authoring of sophisticated technical documents. Presents the martial art Aikido as a metaphor for DITA and as a source of strategies for providers and writers to use as they engage with DITA.
MultiMarkdown is a derivative of Markdown that adds additional formatting features like footnotes, tables, citations, and math support. It allows a document written in Markdown syntax to be converted into multiple formats like HTML, LaTeX, and OpenDocument. This allows the content to be separated from formatting, so the same document can be used to create articles, books, or presentations without needing to know specific formatting commands. MultiMarkdown aims to make formatting plain text into different final document formats as easy as possible.
Sustainable XML for Publishing Applications: DITA Makes It PossibleScott Abel
Presented by Eliot Kimber at Documentation and Training East 2008,
October 29-November 1, 2008 in Burlington, MA.
XML applications for publishers have largely failed to realize the
full potential inherent in the technology. While larger publishers
could make the investment necessary to realize significant return on
the use of XML technology, smaller enterprises simply could not, for a
number of reasons, but fundamentally because the startup costs and
ongoing costs of ownership were simply too high. The DITA standard
fundamentally changes the equation, bringing several unique features
that, together, serve to lower both the startup cost and ongoing
costs, making the use of XML for publishers much more affordable than
it ever has before. At the same time, advances in supporting
technologies important to Publishers, such as improved support for XML
in Adobe Creative Suite and Microsoft Office, powerful new XML search
and retrieval systems such as MarkLogic, and a new generation of lower-
cost XML editors, as serve to make the use of XML for Publishing
applications more attractive than it ever has been before.
The document compares the capabilities of different versions of Mathcad software. It provides a detailed feature comparison chart listing the key capabilities that each version supports such as user interface, document features, numerics and symbolic math support, units, operators and functions, plotting and graphing, programming and solvers, customization, and system requirements. The latest version, Mathcad Prime 2.0, provides the most advanced and robust features while still allowing users to reuse worksheets from older versions. It combines ease of use with superior performance and powerful new capabilities.
MOPs & ML Pipelines on GCP - Session 6, RGDCgdgsurrey
MLOps Lifecycle
ML problem framing
ML solution architecture
Data preparation and processing
ML model development
ML pipeline automation and orchestration
ML solution monitoring, optimization, and maintenance
Optimization Problems Solved by Different Platforms Say Optimum Tool Box (Mat...IRJET Journal
The document discusses using MATLAB and Excel Solver to solve optimization problems in engineering. It provides examples of using these tools to solve linear programming problems, including a purchasing optimization problem maximizing profits. Nonlinear programming problems are also demonstrated, such as quadratic and least squares problems. The key benefits of MATLAB and Excel Solver for optimization problems are their ease of use without requiring an in-depth understanding of mathematical algorithms. They allow students and researchers to efficiently model and solve a variety of optimization problems.
London TensorFlow Meetup - 18th July 2017Daniel Ecer
Slides from London TensorFlow Meetup on 18th July 2017
Corresponding repositories:
https://github.com/elifesciences/sciencebeam
https://github.com/elifesciences/sciencebeam-gym
Data Day Texas 2017: Scaling Data Science at Stitch FixStefan Krawczyk
At Stitch Fix we have a lot of Data Scientists. Around eighty at last count. One reason why I think we have so many, is that we do things differently. To get their work done, Data Scientists have access to whatever resources they need (within reason), because they’re end to end responsible for their work; they collaborate with their business partners on objectives and then prototype, iterate, productionize, monitor and debug everything and anything required to get the output desired. They’re full data-stack data scientists!
The teams in the organization do a variety of different tasks:
- Clothing recommendations for clients.
- Clothes reordering recommendations.
- Time series analysis & forecasting of inventory, client segments, etc.
- Warehouse worker path routing.
- NLP.
… and more!
They’re also quite prolific at what they do -- we are approaching 4500 job definitions at last count. So one might be wondering now, how have we enabled them to get their jobs done without getting in the way of each other?
This is where the Data Platform teams comes into play. With the goal of lowering the cognitive overhead and engineering effort required on part of the Data Scientist, the Data Platform team tries to provide abstractions and infrastructure to help the Data Scientists. The relationship is a collaborative partnership, where the Data Scientist is free to make their own decisions and thus choose they way they do their work, and the onus then falls on the Data Platform team to convince Data Scientists to use their tools; the easiest way to do that is by designing the tools well.
In regard to scaling Data Science, the Data Platform team has helped establish some patterns and infrastructure that help alleviate contention. Contention on:
Access to Data
Access to Compute Resources:
Ad-hoc compute (think prototype, iterate, workspace)
Production compute (think where things are executed once they’re needed regularly)
For the talk (and this post) I only focused on how we reduced contention on Access to Data, & Access to Ad-hoc Compute to enable Data Science to scale at Stitch Fix. With that I invite you to take a look through the slides.
The document discusses the DITA-OT pipeline for processing DITA documents. It explains that the DITA-OT uses a pipeline approach where each step makes a change to the DITA and outputs valid DITA. This allows each step to focus on one task and makes it easier to reason about correctness. Key steps of the pipeline include preprocessing items like conrefs and cross references, and generating output like HTML and PDF. Maintaining valid DITA at each step helps catch errors and reduces dependencies between steps.
This document summarizes Liwei Ren's presentation on differential compression. It begins with Ren's background and introduces differential compression. Ren then presents a mathematical model describing differences between files using edit operations. The document categorizes differential compression based on whether references and targets are in the same/different locations over the same/different times. Finally, it discusses three advanced topics in more depth: comparing local, remote, and in-place differential compression schemes; applying differential compression to executable files; and performing in-place file merging with local differential compression.
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
Ad
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Keith Schengili-Roberts - The Rise of SME within Technical CommunicationsLavaConConference
In this session attendees will learn:
Technical options for going mobile, including responsive design, converting traditional online help to an app, and creating a “true” app using RMAD (Rapid Mobile App Development) tools. The pros and cons of each approach and some of the tools available for creating each option.
Anticipated changes in content creation practices and workflows including the elimination of local formatting, adoption of a “mobile first” philosophy, rethinking the role of tables, and more.
How company issues like terminology standardization, strategic benefit, politics, and the development of metrics and standards can help or hinder a move to mobile.
The document discusses recent developments in standards for displaying mathematical equations online and in ebooks, including MathML, HTML5, and EPUB 3. While support for MathML is growing among browsers and e-readers, there are still gaps that can be filled through MathJax, an open-source JavaScript library. MathML offers benefits like searchability, localization, accessibility, and interoperability for math content on the web and in ebooks.
Using Markdown and Lightweight DITA in a Collaborative EnvironmentIXIASOFT
Using Markdown and Lightweight DITA in a Collaborative Environment, by Keith Schengili-Roberts, IXIASOFT DITA Evangelist and Market Researcher and Leigh W. White, IXIASOFT DITA Specialist, at the CIDM CMS DITA North America, April 2017
Presented at the IXIASOFT User Conference 2015. Kristen James Eberlein and Keith Schengili-Roberts discuss the way the DITA standard has evolved over the last 10 years, where it's at today, and what can be expected in the future.
The document discusses how Helm can help manage Kubernetes deployments by bundling manifests into reusable charts. It describes how Helm works by initializing a Tiller server and installing charts which generate Kubernetes resources. The document outlines best practices for writing charts, including using templates, values, and dependencies. It also provides tips for tools like kubeval and kubetest that can help validate charts.
An exploration of why writers coming to DITA tend to find DITA hard and what we and they can do to help ease the transition from non-DITA to DITA-based authoring of sophisticated technical documents. Presents the martial art Aikido as a metaphor for DITA and as a source of strategies for providers and writers to use as they engage with DITA.
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Sustainable XML for Publishing Applications: DITA Makes It PossibleScott Abel
Presented by Eliot Kimber at Documentation and Training East 2008,
October 29-November 1, 2008 in Burlington, MA.
XML applications for publishers have largely failed to realize the
full potential inherent in the technology. While larger publishers
could make the investment necessary to realize significant return on
the use of XML technology, smaller enterprises simply could not, for a
number of reasons, but fundamentally because the startup costs and
ongoing costs of ownership were simply too high. The DITA standard
fundamentally changes the equation, bringing several unique features
that, together, serve to lower both the startup cost and ongoing
costs, making the use of XML for publishers much more affordable than
it ever has before. At the same time, advances in supporting
technologies important to Publishers, such as improved support for XML
in Adobe Creative Suite and Microsoft Office, powerful new XML search
and retrieval systems such as MarkLogic, and a new generation of lower-
cost XML editors, as serve to make the use of XML for Publishing
applications more attractive than it ever has been before.
The document compares the capabilities of different versions of Mathcad software. It provides a detailed feature comparison chart listing the key capabilities that each version supports such as user interface, document features, numerics and symbolic math support, units, operators and functions, plotting and graphing, programming and solvers, customization, and system requirements. The latest version, Mathcad Prime 2.0, provides the most advanced and robust features while still allowing users to reuse worksheets from older versions. It combines ease of use with superior performance and powerful new capabilities.
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The document discusses using MATLAB and Excel Solver to solve optimization problems in engineering. It provides examples of using these tools to solve linear programming problems, including a purchasing optimization problem maximizing profits. Nonlinear programming problems are also demonstrated, such as quadratic and least squares problems. The key benefits of MATLAB and Excel Solver for optimization problems are their ease of use without requiring an in-depth understanding of mathematical algorithms. They allow students and researchers to efficiently model and solve a variety of optimization problems.
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https://github.com/elifesciences/sciencebeam-gym
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At Stitch Fix we have a lot of Data Scientists. Around eighty at last count. One reason why I think we have so many, is that we do things differently. To get their work done, Data Scientists have access to whatever resources they need (within reason), because they’re end to end responsible for their work; they collaborate with their business partners on objectives and then prototype, iterate, productionize, monitor and debug everything and anything required to get the output desired. They’re full data-stack data scientists!
The teams in the organization do a variety of different tasks:
- Clothing recommendations for clients.
- Clothes reordering recommendations.
- Time series analysis & forecasting of inventory, client segments, etc.
- Warehouse worker path routing.
- NLP.
… and more!
They’re also quite prolific at what they do -- we are approaching 4500 job definitions at last count. So one might be wondering now, how have we enabled them to get their jobs done without getting in the way of each other?
This is where the Data Platform teams comes into play. With the goal of lowering the cognitive overhead and engineering effort required on part of the Data Scientist, the Data Platform team tries to provide abstractions and infrastructure to help the Data Scientists. The relationship is a collaborative partnership, where the Data Scientist is free to make their own decisions and thus choose they way they do their work, and the onus then falls on the Data Platform team to convince Data Scientists to use their tools; the easiest way to do that is by designing the tools well.
In regard to scaling Data Science, the Data Platform team has helped establish some patterns and infrastructure that help alleviate contention. Contention on:
Access to Data
Access to Compute Resources:
Ad-hoc compute (think prototype, iterate, workspace)
Production compute (think where things are executed once they’re needed regularly)
For the talk (and this post) I only focused on how we reduced contention on Access to Data, & Access to Ad-hoc Compute to enable Data Science to scale at Stitch Fix. With that I invite you to take a look through the slides.
The document discusses the DITA-OT pipeline for processing DITA documents. It explains that the DITA-OT uses a pipeline approach where each step makes a change to the DITA and outputs valid DITA. This allows each step to focus on one task and makes it easier to reason about correctness. Key steps of the pipeline include preprocessing items like conrefs and cross references, and generating output like HTML and PDF. Maintaining valid DITA at each step helps catch errors and reduces dependencies between steps.
This document summarizes Liwei Ren's presentation on differential compression. It begins with Ren's background and introduces differential compression. Ren then presents a mathematical model describing differences between files using edit operations. The document categorizes differential compression based on whether references and targets are in the same/different locations over the same/different times. Finally, it discusses three advanced topics in more depth: comparing local, remote, and in-place differential compression schemes; applying differential compression to executable files; and performing in-place file merging with local differential compression.
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Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
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Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
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Brushes and Effects:
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Integration with Other Adobe Software:
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Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
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In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.
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Douwan Preactivated Crack Douwan Crack Free Download. Douwan is a comprehensive software solution designed for data management and analysis.
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This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
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We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
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2. Introduction
• Lois Patterson
• Creating technical documentation since 1995
• Currently working at QuIC Financial
Technologies: www.quic.com
DITA Europe 2008: Mathematical Content
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3. Mathematical content in
documentation: the challenges
In general:
• Mixture of text and alien formats
• Not understood by many tools
• Output is always a challenge
For me:
• Legacy documentation
• Multiple input formats
• Highly complex, mathematical content
DITA Europe 2008: Mathematical Content
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4. Where do we start?
• Tools galore, but no standard solution.
• Many ways to create different solutions.
• What solutions best meet everyone’s needs:
SMEs, tech writers, users?
DITA Europe 2008: Mathematical Content
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5. What is mathematical content?
• Sometimes just graphics
• Equations created in Word or FrameMaker
• TeX code
• SVG code
• MathML
• Any others?
DITA Europe 2008: Mathematical Content
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6. Where does DITA fit?
• DITA ≠ out of the box solution for math.
• DITA and the ideas flowing from DITA still
valuable for mathematical content.
• Maturity model concept can also apply to
mathematical content within DITA.
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8. Presentation and markup for math
• “Just” graphics and text
• TeX/LaTeX
• MathML
• SVG (Scalable Vector Graphics)
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9. TeX/LaTeX: a brief introduction
• For scientific and mathematical notation, TeX
typesetting language invented in 1976.
• LaTeX is TeX plus macros for typesetting.
• Many theses and scientific articles written in
TeX/LaTeX. E.g. http://www.livingreviews.org
• TeX is a presentation language; no semantic
meaning.
DITA Europe 2008: Mathematical Content
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10. What is MathML?
• “[An] XML application for describing mathematical
notation and capturing both its structure and
content. The goal of MathML is to enable
mathematics to be served, received, and processed
on the World Wide Web, just as HTML has enabled
this functionality for text.”http://www.w3.org/Math/
• Presentation MathML, focus on presentation,
produces very long markup.
• Content MathML includes no presentation
information. Can use stylesheets.
DITA Europe 2008: Mathematical Content
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12. One equation: multiple formats
Black-Scholes equation - Nobel-Prize-winning equation.
Foundation of financial mathematics.
We’ll see:
PNG
TeX
MathML
SVG
DITA Europe 2008: Mathematical Content
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13. Black-Scholes equation example (from Wikipedia)
Highlighted equation is a .png file, with
the TeX markup as ALT text in the HTML
markup.
DITA Europe 2008: Mathematical Content
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14. Black-Scholes equation format
comparison
Graphic (.png)
TeX Markup
C(S_0,T) = e^{-rT}(FPhi(d_1) - KPhi(d_2))
What about MathML for this equation?
Too long to show on one page.
DITA Europe 2008: Mathematical Content
in Documentation
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15. Black-Scholes: MathML
LaTex converted to MathML,
displayed in browser MathML Source
DITA Europe 2008: Mathematical Content
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Converted LaTeX to Presentation MathML with a LaTeX to
MathML converter: http://www.maths.nottingham.ac.uk/personal/drw/lm.html
16. Black-Scholes equation example:
SVG
• Using converter*, I produced SVG markup.
• SVG is XML markup, also viewable in FireFox.
• Can be rendered as raster graphics with Java
or Python packages.
• Small snippet:
<symbol overflow="visible" id="glyph2-1"><path style="stroke: none;" d="M 3.59375 -2.21875 C 3.59375 -2.984375 3.5 -3.546875 3.1875 -4.03125 C
2.96875 -4.34375 2.53125 -4.625 1.984375 -4.625 C 0.359375 -4.625 0.359375 -2.71875 0.359375 -2.21875 C 0.359375 -1.71875 0.359375 0.140625
1.984375 0.140625 C 3.59375 0.140625 3.59375 -1.71875 3.59375 -2.21875 Z M 1.984375 -0.0625 C 1.65625 -0.0625 1.234375 -0.25 1.09375 -0.8125
C 1 -1.21875 1 -1.796875 1 -2.3125 C 1 -2.828125 1 -3.359375 1.09375 -3.734375 C 1.25 -4.28125 1.6875 -4.4375 1.984375 -4.4375 C 2.359375
-4.4375 2.71875 -4.203125 2.84375 -3.796875 C 2.953125 -3.421875 2.96875 -2.921875 2.96875 -2.3125 C 2.96875 -1.796875 2.96875 -1.28125
2.875 -0.84375 C 2.734375 -0.203125 2.265625 -0.0625 1.984375 -0.0625 Z M 1.984375 -0.0625 "/></symbol>
* http://www.tlhiv.org/ltxpreview/ DITA Europe 2008: Mathematical Content
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17. DITA and MathML and SVG
• DITA 1.1 supports the <foreign> element.
• Can specialize to support the inclusion of
MathML and SVG in your DITA topics.
• If we use a combination of standard DITA,
MathML, and SVG, will we achieve utopia?
DITA Europe 2008: Mathematical Content
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18. Customize DITA Open Toolkit to
work with MathML and SVG
• Can use the Plus Plugins provided on the DITA-
Users group:
http://tech.groups.yahoo.com/group/dita-users/fi
• DITA-Users group provides a great deal of help
– highly recommended!
• XMetal and MathFlow can be tweaked so that
the DITA Open Toolkit works with
MathML/SVG.
DITA Europe 2008: Mathematical Content
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20. Input
• Microsoft Word with MathType
• Open Office with built-in math editor
• FrameMaker with Equation Editor
• XMetal (or Arbortext) + MathFlow
• TeX/LaTeX
• Scribbled on scrap paper
• Create yourself, or take what is given you?
DITA Europe 2008: Mathematical Content
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21. Input – standards or not?
• SMEs provide content however I can get it.
• Enforcement of standards for input would be
counterproductive.
• Anyone with success enforcing standards for
input?
• Difficulty is that many input formats do not
play well with DITA.
DITA Europe 2008: Mathematical Content
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22. Input: Microsoft Word with
MathType
• A WYSIWYG editor, MathType can output
Presentation MathML or LaTeX.
• Somewhat harder from LaTeX or MathML
back to editing in MathType.
• How to avoid cut and paste if your content is
in DITA topics?
DITA Europe 2008: Mathematical Content
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23. Open Office with built-in math
editor
• Free tool.
• Easy to use.
• Math editor outputs MathML.
• Integration with DITA possible, but not
seamless.
DITA Europe 2008: Mathematical Content
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24. FrameMaker with Equation Editor
• FrameMaker has many positive qualities.
• Only supports DITA 1.0 currently - OK if your
math content will just be graphics.
• Equation Editor does not “naturally” output to
LaTeX or MathML.
• Can use in conjunction with Mif2Go, but still
math will be graphics only.
DITA Europe 2008: Mathematical Content
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25. XMetal (or Arbortext) + MathFlow
• Slick combination, fun to work with.
• MathFlow is similar to MathType (both are
Design Science products).
• Can customize the DITA OT that comes with
XMetal/Arbortext for math output.
• Perfect for DITA authoring.
• Unlikely your SMEs use this combination.
DITA Europe 2008: Mathematical Content
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26. MathFlow Exchange
• ImportsWord + MathType documents, and
exports them into Arbortext as XML +
MathML. You may be able to DITA-cize the
content.
• Is DITA the guiding principle or an
afterthought?
• Dealing with mathematical content is like a
never-ending conversion project.
DITA Europe 2008: Mathematical Content
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27. LaTeX input
• Convert LaTeX equations to MathML, or
graphics.
• Convert LaTeX documents (like an article) to
HTML + graphics.
• Use Hermes technology to convert to xHTML +
graphics.
• No straight line to DITA.
DITA Europe 2008: Mathematical Content
in Documentation
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28. Scrap paper input
• More work for me, but I can enter it into
whatever program I like!
DITA Europe 2008: Mathematical Content
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29. Review strategies
• Get basic input, integrate it with non-math
text.
• Review is crucial, but how?
• If you use DITA, difficult to allow direct editing
by SMEs.
• In practice with non-DITA documentation,
SMEs rarely directly edit anyway.
DITA Europe 2008: Mathematical Content
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30. Ideal review solution
• Our SMEs want to be able to review and edit
equations in real time.
• How?
• Publish DITA content to a Confluence Wiki, enable
editing, republish.
• Lombardi Software – DITA to Wiki
• Many details to work out.
• Keeping TeX markup accessible will be paramount.
DITA Europe 2008: Mathematical Content
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31. Publishing outputs
Some choices:
• xHTML + MathML
• xHTML + graphics
• .chm with graphics
• PDF with graphics
All require modifying the DITA OT. Plus Plugins
(as mentioned earlier) are very helpful.
DITA Europe 2008: Mathematical Content
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32. Output: xHTML with MathML
• If everyone uses FireFox, or Internet Explorer
with MathPlayer, this is a great solution.
• Falls apart if a documentation user has a
different environment.
• Still need ways of introducing index,
searchability, etc. (like you can do with
EclipseHelp). Standard DITA issues.
DITA Europe 2008: Mathematical Content
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33. Other output formats
• xHTML + graphics
• .chm with graphics
• PDF with graphics
If you have MathML and want these formats,
you must render MathML as graphics.
This will require modifying build scripts,
installing DITA OT plugins, and using Java or
other rendering tools.
DITA Europe 2008: Mathematical Content
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34. Rendering tools
• MimeTeX renders TeX equations as .gifs.
• Java packages jeuclid and batik render
MathML.
• Antenna House renders MathML for HTML
and PDF.
www.forkosh.dreamhost.com/mimetex.html
jeuclid.sourceforge.net/
xmlgraphics.apache.org/batik/
www.antennahouse.com/product/mathml.htm
DITA Europe 2008: Mathematical Content
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35. Less-explored options
• Building applications with Adobe AIR.
• Adobe PDFs can manage some mathematically
relevant wizardry.
• What could you do with Math and Flash?
• How would these integrate with DITA?
DITA Europe 2008: Mathematical Content
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36. As we become more mature . . . .
• Make math equations searchable.
• Work with metadata, attributes.
• This is a Ph.D thesis topic, and not one we will
solve here.
• Google the following:
Mowgli project
A More Canonical Form of Content MathML to Facilitate Math
Search
An Investigation of Index Formats for the Search of MathML
Objects
DITA Europe 2008: Mathematical Content
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37. DITA Europe 2008
• Thank you for attending.
• Resources URL:
http://dita.xml.org/blog/loisbc
• Email: [email protected]
DITA Europe 2008: Mathematical Content
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#3: Introduction: Quiz audience about whether they are working at small or large companies, what countries are they from.
I first put mathematical equations on the web in 1995, using a now-extinct shareware math editor, and then making .gifs.
#4: Lay out the problems. Attendees not necessarily aware of the issues.
#6: I define the parameters, and get an idea of what people are working with currently.
#11: We aren’t interested in just the web. MathML has applications beyond the web, just as XML does.