DITA conversion and metadata

One of the most overlooked aspects of DITA conversion is including metadata in your conversion project. Metadata is a powerful tool. Please, leverage it! (Go ahead and picture me shouting this from the rooftops.)

Your goal is to capture and transfer metadata that is important to your content and your processes. You want to do this for a few reasons:

  1. So that it’s not forgotten and left behind. “When was this content last updated and who updated it?” You don’t want the answer to be: “Who knows. We converted it last week.”
  2. So you can leverage your XML. Adding metadata to XML is like putting a steering wheel on your car—it gives you all sorts of control over it.
  3. So you don’t have to apply metadata manually after conversion, a painful and time-consuming exercise.

You can also treat your conversion project as an opportunity to introduce new metadata into your content that can really enhance its value. The moment when content is being converted to XML but is not yet loaded into a CMS is the perfect moment for adding metadata.

Part of your overall content strategy should include a section on metadata strategy, where you plan what kinds of information you want to capture (or introduce) and how you will do so.

Metadata explained

Metadata is simply information about information. The date stamp on a file, for example, is metadata about that file. Although we’re used to seeing all sorts of metadata, we rarely use it to our benefit other than by sorting a list of files. Using Windows 7, you could, for example, easily return a list of all graphics that you’ve ever uploaded to your computer that were taken with a specific lens length, no matter where they are stored. You could do the equivalent exercise with your content files (Word documents, FrameMaker files, Excel spreadsheets, etc.) if you took the time to tag them with simple category metadata.

In the context of DITA topics and maps, metadata is information that is not part of the content itself. Metadata is expressed in an element’s attributes and values, in elements in the prolog of a topic, in the topicmeta element in maps, in various other places in maps and bookmaps, and in subject scheme maps.

Metadata in the prolog element

Use metadata for different purposes:

  1. Internal processes. For example, knowing the last date a piece of content was updated can let you know that content has become stale. This sort of metadata can also drive workflows for authoring, reviewing, and translating.
  2. Conditional content. Metadata is what lets you show/hide content that is specific to particular users, specific output types (like mobile), or particular products and helps you maximize your ability to single source and re-use content (thus making your ROI that much more attractive).
  3. To control the look and feel of your content on publish. Metadata allows information to pass to your publishing engine.
  4. Grouping and finding content using a taxonomy or subject scheme. Useful for both authors searching for content and end users searching and browsing for content, this strategy can be a really powerful addition to your content.
  5. To run metrics against. Example: Return a count of topics covering a subject matter, or the number of topics updated in the last x months by author a, b, and c. You can get metrics on any metadata you plan for and implement.

What metadata do you need to capture?

The metadata you need to capture depends on your content strategy. A good method is to start with how you’d like your users (external stakeholders) to experience their content and work backwards from there. For example, if you want localized content to display for users who are from a specific geographic location, then you need to build that in. If you want content to display differently for mobile devices, then you need to build that in.

Don’t forget about your authors when it comes to planning your metadata (it helps to think of them as internal stakeholders). Metadata can introduce some major efficiencies when planning, finding, authoring, and publishing content. A good CMS lets authors browse, search, and filter by subject matter, keyword, component, sub-component, or any other piece of metadata. Sometimes some of the metadata might be applied in the CMS itself rather than in the topics or map, so your metadata plan should include an understanding of what and how you’ll be able to leverage metadata using your CMS of choice.

However, at a minimum, think about including topic-level metadata (traditionally placed in the prolog element) that includes:

  • Author
  • Status of the content (for example, approved)
  • Date content was originally created
  • Date content was last updated
  • Version of product (if applicable)

Conditional metadata

Conditional metadata is the most popular use of metadata. The conditional markers on your legacy content should be converted to attributes and their values so you can leverage profiling (publishing for specific users or output types). Not all attributes can work as profiling attributes, so make sure you do your homework when planning your metadata strategy. Also not all attributes are available on all elements.

Conditional metadata on a step element

The .ditaval file goes hand in hand with conditional metadata. This is a processing file used on publish to show/hide attribute/value pairs.

Ditaval file

Publishing metadata

You can use metadata to control the look and feel of your content. A simple example is for table header columns that should have vertical text rather than horizontal text. A piece of metadata can let the stylesheets identify when to display text with vertical alignment.

Table with metadata that indicates some text should be vertical

Best Practices

I’m the first one to admit that managing your metadata can become a bit of a nightmare.  You need to keep an eye on best practices to make sure what you implement is scalable and manageable.

When you think metadata, think map

There are no two ways about it—trying to manage metadata at the topic level is not always efficient. Instead, think about putting some metadata in maps instead.  This lets you change the metadata of a topic depending on the map it is referenced in, making it more versatile.

However, there are downsides to placing metadata in maps. It means you have to duplicate effort because every time you reference the same topic, you must specify the metadata again in each map, which could lead to inconsistencies. It also means that authors can’t necessarily easily see the metadata that might be important for them to know when using or modifying the topic.

Often, some metadata at the map level lets you leverage your content intelligently while the rest should stay in the topic. Each case is unique and you should define this as part of your content strategy, but some examples are shown below.

Keep in mind that metadata that is assigned in DITA topics can be supplemented or overridden by metadata that is assigned in a DITA map, so you can overlap metadata if needed but the map is (usually) boss. For details, see the DITA specification.

Map metadata using the topicmeta element

Keys and conkeyrefs

Some great alternatives to setting conditional or profiling attributes on elements are to use keys and conkeyrefs. These mechanisms take the control out of the topic and put it in the map or in a central location, where it belongs. When you start controlling your content from your map or from a central location, your content becomes both more versatile and more efficiently updated. For example, a topic could swap out some of its content depending on the map in which it is referenced. This can be useful for anything from a term or variable phrase to a table, graphic, or paragraph.

Use of keyref in a sentence

Defining key in map, where the keyword will replace the keyref in the paragraph above

Taxonomy/Subject Scheme

Using the subject scheme map, you can take your metadata to a whole new level. The subject scheme map is a way of introducing hierarchy into your classification or subject scheme, and then being able to leverage that hierarchy intelligently on publish. For example, you can create a subject scheme that defines two types of subjects: hardware and software. Each of these categories would be broken out into sub-categories. So hardware might include headsets, screens, and power cords. By connecting this hierarchical categorization to the topics and maps that hold your content, you can manipulate content at the lower level of categorization (for example, exclude all headsets content) or at the higher level (exclude all hardware content). It also lets you change the user experience of content for end users, so they can easily search through or browse these categories. And that’s just the beginning of what you can do with subject scheme maps.

For more information on subject scheme maps, see Joe Gelb’s presentation on this subject. Although he distinguishes metadata from taxonomy, this is really an arbitrary distinction. Think of taxonomy as a particular kind of metadata with a specific purpose.

Like any metadata effort, planning your taxonomy and subject scheme is essential. For example, identifying all installation content is probably not going to be useful to end users (who wants to see the installation topics for 40 products?) but grouping content by subcomponent could be essential. The trick is to determine what will be useful.

Summary: A careful, methodical approach to including metadata in your conversion project can help you leverage your XML in a way that can be both internally and externally powerful. Use your conversion project as a way to not only transfer your existing metadata to your XML or CMS, but to also enhance your metadata to ensure you have versatile and findable content.

Migrating to DITA – best practices for authors to consider before converting legacy content

When first making the move to DITA, there are some very important best practices that authors should consider before converting their legacy content.

When doing any sort of conversion from one format to another, the riding principle is always GIGO (garbage in, garbage out). If your legacy content is not particularly good, then converting it to DITA will only create indifferent content in a so-so DITA markup. The result: failure.

So what authoring best practices should you consider before converting your legacy content?

1.  Topic-based writing

Your content needs to be able to split nicely into topics. The DITA model uses tasks, concepts, and references, but there are variations like super tasks, glossary, and scenarios that could be useful to keep in mind as well. However, if your content is still in chapter-like narrative form, the resulting conversion will be problematic—and your ability to leverage the advantages of DITA (like re-use) will be negatively affected. Worse still, if you have content that contains a mix of concept, task, and/or reference all in the same “chunk”, then it needs to be re-written.

2.  Minimalism

Applying minimalism to content is vital. You could do it post-conversion, of course, but you can save a lot of time by doing it pre-conversion. Minimalism has three important facets to it:

  1. Write goal-based content: Writing goal-based content means more than just planning your content around tasks (although that, too, is important). It means identifying what your users will be doing with the product and writing those tasks. This is a departure from the feature-based content we often see. It’s the difference between writing the task “Using the Fine Tune feature”, which focuses on the product, and the task “Enhancing your Audio”, which focuses on the user. They might cover similar steps, but the focus of the task is on what the user needs to do, not what the product does. When you start identifying really good user goals, you end up writing about many different features, stringing them together so the user gets the information they need to complete that goal. If you have a lot of tasks that have “if-then” types of choices, you are probably mixing different goals into one task. You can often break those out into separate and more meaningful stand-alone tasks. Once you have your goals written, then it’s time to include the conceptual and reference information to support those goals.
  2. Provide only the information users need to perform the task inside the task and write nothing extra: This means writing one way to perform a task, not all ways. It means providing troubleshooting information in line with the steps where it can be useful. It means providing step results when they are informative rather than obvious. It also means not documenting the “cancel” button.
  3. Get rid of the chaff: This includes those rather unnecessary lead-in sentences like “This chapter introduces you to …” or “this table contains information about…”. When your topic and table titles are clear and your content is well written, you can completely remove those extra words (that users, ahem, skip over anyhow).

3.  Navigation

Authors are frequently in love with cross references, especially inline cross references (example: “For more information about x, see link”). Users, however, are not so in love with them. One user recently referred to it as “falling into a spinning circle”. By the time they have followed the link from the original topic (which led them to a web of five more topics), they not only can’t find their way back to the original task, they can’t even remember what the original task was. I call it “the spaghetti mess of links”.

Links between topics should be kept to an absolute minimum and should only be inline in rare circumstances. If you need to link two topics together, the best place for that is at the side or at the bottom of the topic and often DITA will do that automatically for you. What are valid reasons for linking topics?  When the user will never be able to guess that those two topics are related, or that the two topics are not “siblings” to each other in the hierarchy of content, or when you want to introduce a sequence between topics.

There are other valid reasons to include links, but the goal here is to keep linking to a minimum so that users will find the links useful. As a result, they will also pay more attention to links when you provide them. Another goal is to minimize dependencies between topics. You should be putting all links in relationship tables, which are linking mechanisms that live in the DITA maps instead of inside the topics. By removing the links from inside the topics and putting them at a higher level, inside the map, you leave the topics dependency-free to be re-used wherever necessary.

4.  Structural monstrosities

Let’s face it: we sometimes do odd things to our content in order to organize it as best we can. The result is sometimes something too complex to convert well to DITA. One example is a table within a table. Another monstrosity is having procedures in tables for some understandable formatting and layout advantages. Clean up your monstrosities and make them pretty enough to go to the Ball. DITA will give you other ways to organize your content without that sort of complexity.

Links between topics should be kept to an absolute minimum and should only be inline in rare circumstances. If you need to link two topics together, the best place for that is at the side or at the bottom of the topic and often DITA will do that automatically for you. What are valid reasons for linking topics?  When the user will never be able to guess that those two topics are related, or that the two topics are not “siblings” to each other in the hierarchy of content, or when you want to introduce a sequence between topics.

There are other valid reasons to include links, but the goal here is to keep linking to a minimum so that users will find the links useful. As a result, they will also pay more attention to links when you provide them. Another goal is to minimize dependencies between topics. You should be putting all links in relationship tables, which are linking mechanisms that live in the DITA maps instead of inside the topics. By removing the links from inside the topics and putting them at a higher level, inside the map, you leave the topics dependency-free to be re-used wherever necessary.

5.  Structure without differentiating meaning

I have yet to see legacy content that doesn’t include formatting for something like bold, italics, or underline. They are each often applied for very different reasons though. For example, you might italicize a phrase to indicate that it’s a book name, or because it’s a first occurring term, or for emphasis.

In DITA, if you apply the <i> element to all of these different types of content, then you won’t be able to leverage the markup properly. The <cite> element is used to indicate a book or external reference name. A term might be put in the <term> element. Emphasis, on the other hand, is simply not an acceptable reason to change font weight anymore. Once you are using the right elements for the right sort of emphasis, you’ll be able to leverage the formatting for those items separately and do cool things like link your <term> elements to actual glossary descriptions so users have inline rollovers with definitions.

So get familiar with your DITA inline elements like <uicontrol>, <menucascade>, <cite>, <term>, <ph>, <dl>, and get them to work for you.

A good conversion method will be smart enough to make those distinctions for you or help you make them, but that’s a key piece of conversion functionality you should look out for.

6.  Short descriptions

If you haven’t yet encountered the DITA short description, count yourself lucky. It is the only element that legacy content often doesn’t have. DITA best practices say that each topic (every one!) should have a short description. If you’re thinking, “Big deal, I’ll just put my first sentence as the short description everywhere”, then let me stop you right there. A short description is the single hardest piece of content to write in the DITA model.

A good short description is succinct (less than two lines for sure, better to make it one). It accurately describes the topic without repeating the title, and gives users just the right information that, when they see the title+short description combination, allows them to decide whether that topic is worth navigating to or not.

In all online outputs, the title+short description is visible every time your content is in a hierarchy (parent-child). That’s why it looks odd when some topics have short descriptions and others don’t. You should either use them everywhere or use them nowhere.

The short description is a powerful interpretive tool that lets you bridge what is often required technical jargon in the title with the terms a user might be more familiar with. It often leads to the “Oh, that’s what you mean” moment for users. Wield it wisely.

Good Results and Bad Results

The first example is an “as is” conversion.

As is example conversion

This second example is the same content, but with ‘best practices’ applied.

Best practices applied

Conclusion: If you follow these best practices before, during, or after your conversion, your content will become versatile, usable, and streamlined. Excellence in, excellence out is what we should all strive for.

Getting great DITA conversion results

Although conversion is only a small part of your DITA adoption project, it’s the part that causes even smart people to break out into hives. How does one go from a regular, flat document to a series of DITA topics and maps with the correct markup? How do you do that without losing important information? What’s the best way to do it? What tools do you use? How do you start?
Learn the basics

My first recommendation is that, no matter which conversion method you end up choosing,  get some basic DITA training first. You should understand what a topic is, the difference between topic types, how a DITA map connects content together, and the basics of attributes.

Even if you’re not doing the conversion yourself, you should have enough knowledge to recognize good results from bad. For example, you should know that if all your topics are the wrong types, the conversion needs to be re-done. One of the warning signs is if you have procedural information in a concept or generic topic with an ordered list (<ol>)—that should be a task topic, which has step and step-related elements you can leverage.

Visualize the results

There’s no way to get around it: your current content, now likely stored as chapters, books, and documents will become 100s or 1000s of topics, combined together using maps. The sheer number of objects that result from a conversion project often surprises people.

It’s important to visualize the end results of an entire document set being converted—you will have 1000s or 10,000s of files, plus graphics. However, you also need to visualize what an individual “topic” should be. Is it a chapter? Half a chapter? A few lines?

I tell my clients that it should be a “digestable” amount of content—enough for users to get their business goal completed (learn about X, perform Y, look up information on Z) but not so long that it is too big a bite and gives them heartburn. The length really does depend on the business goal but on average, if you were to print out a topic to PDF, it would be about ¾ of a page long. Of course, there are topics that are going to be shorter and longer but this average at least gives you an idea of what a “topic” might be.

If your conversion is giving you longer and fewer topics, then you have a problem with chunking. You need to either re-write into discrete topics, each with an appropriate title, or re-do your conversion to chunk at the appropriate heading level.

Clean up the content

Converting content that is minimal and matches the DITA architecture already can save you lots of time in post-conversion clean up. Apply minimalism. Remove extra words. Remove sentences that repeat titles or captions. Streamline everything. If you have 40 conditions in your FrameMaker book, it’s time to do a purge.

In general, a clean conversion means that your content maps nicely to the DITA elements without abusing those elements. This means your content already matches the DITA architecture.

This mapping is most evident in tasks, which have a very specific set of elements. For example, if you have a step command followed immediately by a result, it will not convert cleanly.

  1. Log in as an administrator. The administrator interface displays your dashboard, updated every 30 seconds.

If you convert this as is, you will get the markup:

<step><cmd> Log in as an administrator. The administrator interface displays your dashboard, updated every 30 seconds.</cmd></step>

Simply by adding a line break directly following the command, you can get a clean DITA conversion:

  1. Log in as an administrator.
    The administrator interface displays your dashboard, updated every 30 seconds.

<step><cmd> Log in as an administrator.</cmd>
<stepresult>The administrator interface displays your dashboard, updated every 30 seconds.</stepresult></step>

If you think that’s not a big or important change, then think again. Having the correct markup around the appropriate piece of content is what can distinguish DITA adoptions that succeed and those that fail—fail to provide the agility and power that is possible by having content in XML.

Having the result in a <stepresult> tag means that you can programmatically hide all step results for mobile output, for example. Or you can format that non-essential information differently. It also means that you can possibly re-use this step or topic in another place, even if the step result is different in that other context.

The cleaner, more minimal, and more task-based your source content is, the easier the conversion will be. As an added bonus, you will also end up with better quality DITA content.

Develop a Content Strategy

You should develop some sort of content strategy prior to beginning the bulk of your conversion.

Among other things, a content strategy defines the elements and attributes you will use. This helps inform your conversion.

For an example not at all at random, consider the use of the short description. It’s a powerful little element—but it’s also the one piece of content that is rarely pre-existing prior to a move to DITA. Some companies decide not to use short description elements while others decide to always use them (it’s a bit like a yes or no question). It’s a powerful little element, but mostly valuable in HTML output. If you don’t have an end-to-end strategy in place, you won’t know whether you should add a short description to every topic as part of your conversion.

I can tell you that adding and putting content in an element in every single topic after conversion is a painfully time-consuming job. It’s much faster to do this work programmatically during conversion, even if you have to go back and fill in some content later.

A content strategy helps you define what you need so you can have the DITA building blocks you need in place as a result of your conversion.

Pick a conversion method

You have some options when it comes down to actually performing a conversion from unstructured (or other-structured) content to XML.

  1. In house: Usually using FrameMaker conversion tables, this is a way for you to completely control your conversion. You won’t benefit from time-saving scripts or built-in best practices that other options can provide you with. Errors and  omissions can have a serious impact on your project budget and timelines, not to mention quality. The person doing the conversion ought to have a very good working knowledge of DITA architecture, but they can learn FrameMaker conversion tables on the fly.
  2. Consultant: A consultant works with you to identify the strengths and weaknesses of your content first so your conversion is of the highest quality. Consultants will also help you implement your content strategy and apply best practices. You won’t need expert knowledge of DITA but you will still have input and control over the results. Consultants can often meet very tight deadlines, when no one on the team has the time to convert large amounts of content.
  3. Conversion specialist company: These are companies that make a business out of converting content. They can convert custom XML to DITA and convert huge amounts of content in a short time, and have a powerful engine that can be customized to whatever you need. Although budget and pace are usually out of your hands, they get good results even from really difficult conversion projects.
  4. Stilo’s Migrate: In a class on its own, Stilo’s Migrate self-service format lets you leverage the time-saving tools and functionality (like converting images to SVG on the fly) of experts while still having full control over the pace, cost, and details of your conversion. It’s flexible enough to adapt to what you need and powerful enough to make the process fast and reliable. Remember that implementing best practices is still up to you, so the people using Migrate ought to have a very good knowledge of DITA architecture to ensure quality results. Alternatively, you can bounce your Migrate conversion results off a consultant to make sure you’re heading in the right direction.

The method you choose is going to depend on your timelines, budget, in-house expertise, volume of content, and comfort level. You can also mix and match them, getting help with your tough content and doing the easy ones yourself.

Perform a trial

Whichever conversion method you select, make sure you do a trial run with real content. Like taking a car for a test drive before you buy it, a trial run helps you make modifications to your conversion early on, raise content strategy questions you may not have considered, validate the quality of your pre-converted content, and validate metrics, budget, and timelines. If you need to modify your budget or choose another conversion method, this is your big chance.

There are very few drawbacks to performing a trial conversion—it does add some time to your schedule though, so factor that in.

The best type of content for a trial is the content you’re most confident with but which also shows some complexity in your content (conditions, text insets, index markers, etc.).

Hint: Stilo offers a free trial conversion that you should really take advantage of.

A Tale of Two Formats; Creating content with Word and DITA XML simultaneously

Presented by Catherine Long & Rich Perry | Varian Medical Systems

You decide to move to publishing with DITA XML. It all appears wonderful. You purchase a CMS, select an editor, create your information model, and share the plan with your authors. This is great! You begin to analyze documents, get a style sheet designed, prepare and schedule author training, but then problems and issues of resistance start adding up. There are so many different document types (60) and so many global authors (100) who are not tech writers. You begin to realize that unless the company can stop needing to provide service and installation for 3 to 6 months, you are not going to be able to flip the switch and move to DITA all at once.

What can you do?
Make the move at your own pace, and publish documents with Word and DITA simultaneously. Doing so provides many benefits, such as bringing the different document types into the project a few at a time and training authors with their own content already in the system.

Catherine Long and Rich Perry show you how this dual publishing helps you move through the process of moving to DITA so that the experience is easier, and perhaps cheaper, for everyone involved.

View recording (registration required)


Meet the presenters

Catherine Long
Catherine Long has been with Varian Medical Systems for five years. She was brought in to assist the service documentation department with authoring standards and the publishing process, as well as to lead the move to DITA XML. Her challenge is to design a system architecture and provide training for 100 SMEs who write documents as one part of their busy schedules. Her relaxation is to immerse herself in the worlds of Shakespeare, Wodehouse, Wilde, and others.

Rich Perry
Rich Perry manages a publication team responsible for processing technical servicing content at Varian Medical Systems. Over the course of his career work life, he has held various technical positions supporting military and medical devices. These experiences as an end-user of servicing procedures lit a fire in him that led to his avocation as a technical trainer, curriculum developer, and product support specialist. Rich’s team is in the process of transitioning from an unstructured Word authoring environment to DITA. While he and his team have not fully implemented DITA, Rich is ready to share his experiences as the struggle continues!

Intelligent content authoring for everyone

Presented by Mike Iantosca | IBM and Patrick Baker | Stilo

The power of intelligent content becomes possible only when that intelligence is intentionally injected, most often in the form of structure and descriptive semantics. That intelligence helps machines do their automated magic. Most often, the needed structure and semantics are added by humans during content authoring. Content management, for both content development and delivery, generally becomes more powerful, flexible, and valuable with the growth of structure and semantics–but at the price of complexity and required skills for content creators.

Structured content authoring tools have advanced, masking some of that complexity, but even so-called lightweight and tag-less authoring tools leave gaps for diverse content creators and contributors, making intelligent content component strategies for the enterprise an elusive proposition.

Join us for this Stilo DITA Knowledge Series webinar as Mike Iantosca, IBM’s Structured Content Authoring Tools Lead, lays out a multi-tier strategy for addressing the needs of organizations with diverse authoring roles and skills, from professional content creators through casual contributors.

Following Mike’s presentation, Stilo’s Patrick Baker will present the case for a guided + fluid authoring solution for SME’s and casual contributors and provide a demonstration of AuthorBridge, a new cloud XML authoring service which delivers all the advantages of free-form authoring (user-friendly, with little or no restrictions), while ensuring that rich semantic content is generated under the covers, capturing the author intent without any of the complexities of XML.

View recording (registration required)


Meet the presenters

Mike Iantosca

A member of the IBM corporate leadership team for Information Development and Digital Services, Mike Iantosca manages an industry-leading portfolio of authoring and content management tools and systems used to create, manage, and publish more than 200 million pages of client-facing content in dozens of national languages for thousands of IBM products. With more than 30 years of structured content authoring and management design and development experience, Mike has the overall responsibility for the planning, design, development, and delivery of solutions that support a wide range of content creators, including thousands of professional product Information Developers, technical editors, Information Architects, globalization professionals, contributors, OEMs and IBM Business Partners.

Mike leads multiple software development and test teams across far-flung geographies that design, develop, test, and support advanced publishing technologies including structured based authoring and content management systems. Mike also provides product and project management leadership across all phases of product development including concept, development, test, deployment, maintenance and operations managing people, process, requirements, change management, budgets, schedules, suppliers, and contracts.

Patrick Baker

As VP, Development and Professional Services, Patrick Baker heads all new product development at Stilo and is actively engaged in the successful deployment of content processing solutions for publishing clients. Major ongoing product development efforts include OmniMark, the leading high-performance content processing platform, and Migrate, the world’s first cloud XML content conversion service. Patrick has been associated with best practices for complex content processing for over a decade and has successfully delivered custom solutions on behalf of organizations in the automotive, airline, defence, and commercial publishing sectors.

With a B.Sc. degree in Mathematics and a M.Sc. in Computer Science from McGill University, he leads an expert team of highly talented content processing specialists.

Migration to DITA – The Atmel Story

Presented by Morten Haaker, Senior Project Manager | Atmel Corporation

Are you thinking about moving to DITA? In addition to learning DITA, tool and vendor selection, creation of stylesheets, change management and other challenges, you may be faced with having to convert thousands of pages of detailed technical information from an unstructured format to DITA.

Learning from the experience of others can make a big difference to your project success and the Atmel story may just help you to better determine your migration strategy.

Join us for this Stilo DITA Knowledge Series webinar as we hear from Atmel Corporation’s Morten Haaker who will show how Atmel, a global semiconductor company, approached the issue of content conversion as an integral part of their DITA implementation.

Morten is a Senior Project Manager at Atmel Corporation responsible for the technical documentation project. Located in Norway, Morten has been with Atmel for more than 12 years. He holds a Master of Computer Science from the Norwegian University of Science and Technology and heads up the Nordic SDL LiveContent User Group.

Due to an unforeseen technical problem, we were unable to record this webinar.

View webinar slides


Meet the presenter

Morten Haaker

Morten is a Senior Project Manager at Atmel Corporation responsible for the technical documentation project. Located in Norway, Morten has been with Atmel for more than 12 years. He holds a Master of Computer Science from the Norwegian University of Science and Technology and heads up the Nordic SDL LiveContent User Group.

Smart guidance in your enterprise authoring environment | Acrolinx & AuthorBridge

Presented by Ulrich Callmeier, COO | Acrolinx
Les Burnham, CEO and Patrick Baker, VP Development & Professional Services | Stilo

How can you ensure content quality and consistency across your company and how can you be confident your content will achieve the desired results? These are some of the biggest challenges organizations face as they attempt to scale and grow their content production.

Join us, and our partner Acrolinx, for this Stilo DITA Knowledge Series webinar as we show you how content optimization software helps you keep everything you write on-brand and on-target. Built on an advanced linguistic engine, Acrolinx software “reads” and scores your content and guides your writers to make it better. Like having your own personal content coach at all times, Acrolinx pinpoints areas to improve and displays them in a convenient sidebar directly within your authoring environment.

And, as Acrolinx is now integrated with Stilo’s browser-based enterprise DITA authoring solution, AuthorBridge – you can not only guide writers to make content better, you can also guide them to author structured content without requiring any knowledge of DITA or XML. AuthorBridge provides visual controls and cues to guide the author naturally, with no explicit tagging or structure to directly manage, allowing the SME to concentrate exclusively on authoring the content.

The webinar included a demo of Acrolinx and AuthorBridge.

View recording (registration required)