From: Subject: Introduction to the Darwin Information Typing Architecture Date: Wed, 28 Mar 2007 21:19:46 -0800 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0018_01C7717E.CFA2A7F0" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3028 This is a multi-part message in MIME format. ------=_NextPart_000_0018_01C7717E.CFA2A7F0 Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable Content-Location: http://www-128.ibm.com/developerworks/xml/library/x-dita1/ =EF=BB=BF Introduction to the = Darwin Information Typing Architecture

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In=20 this article:
	Ba= ckground
	In= formation=20 interchange, tools management, and = extensibility
	Ma= in=20 features of the DITA architecture
	Th= e=20 topic as the basic architectural unit
	Be= nefits=20 of the DITA architecture
	DI= TA=20 overview
	DI= TA=20 delivery contexts
	DI= TA=20 typed topic specializations (infotyped topics)
	DI= TA=20 vocabulary specialization (domains)
	DI= TA=20 common structures
	E= lements=20 designed for specialization
	T= he=20 values of specialization
	R= ole=20 of content communities in DITA
	E= nd=20 notes
	N= otices
	Resources
	About=20 the authors
	= Rate=20 this page

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developerWorks > XML > 3D""=20

Introduction to the Darwin Information Typing=20 Architecture

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Level: Introductory

Don=20 Day (mailto:dond@us.ibm.com?subject=3DIntroduction=20 to the Darwin Information Typing Architecture)IBM=20 Corporation
Michael=20 Priestley (mailto:mpriestl@ca.ibm.com?subject=3DIntroduction=20 to the Darwin Information Typing Architecture)IBM=20 Corporation
David=20 Schell (mailto:dschell@us.ibm.com?subject=3DIntroduction=20 to the Darwin Information Typing Architecture)IBM=20 Corporation

01 Mar 2001
Updated 28 Sep 2005

The Darwin Information Typing Architecture = (DITA) is=20 an XML-based, end-to-end architecture for authoring, = producing,=20 and delivering technical information. This architecture = consists=20 of a set of design principles for creating = "information-typed"=20 modules at a topic level and for using that content in = delivery=20 modes such as online help and product support portals on = the Web.=20 This document is a roadmap for DITA: what it is and how it = applies=20 to technical documentation.

The Darwin Information Typing Architecture (DITA) is an=20 XML-based, end-to-end architecture for authoring, producing, = and=20 delivering technical information. This architecture consists = of a=20 set of design principles for creating "information-typed" = modules at=20 a topic level and for using that content in delivery modes = such as=20 online help and product support portals on the Web.

At the heart of DITA, representing the generic building = block of=20 a topic-oriented information architecture, is an XML = document type=20 definition (DTD) called "the topic DTD." The extensible=20 architecture, however, is the defining part of this design = for=20 technical information; the topic DTD, or any schema based on = it, is=20 just an instantiation of the design principles of the=20 architecture.

This document is a roadmap for the Darwin Information = Typing=20 Architecture: what it is and how it applies to technical=20 documentation. It is also a product of the architecture, = having been=20 written entirely in XML and produced using the principles = described=20 here.

Background

This architecture and DTD were designed by a = cross-company=20 workgroup representing user assistance teams from across = IBM. After=20 an initial investigation in late 1999, the workgroup = developed the=20 architecture collaboratively during 2000 through postings to = a=20 database and weekly teleconferences. The architecture has = been=20 placed on IBM's developerWorks Web site as an alternative = XML-based=20 documentation system, designed to exploit XML as its = encoding=20 format. With the delivery of these significant updates, = which=20 contain enhancements for consistency and flexibility, we = consider=20 the DITA design to be past its prototype stage.

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Information = interchange, tools=20 management, and extensibility

IBM, with millions of pages of documentation for its = products,=20 has its own very complex SGML DTD, IBMIDDoc, which has = supported=20 this documentation since the early 1990s. The workgroup had = to=20 consider from the outset, "Why not just convert IBMIDDoc, or = use an=20 existing XML DTD such as DocBook, or TEI, or XHTML?" The = answer=20 requires some reflection about the nature of technical=20 information.

First, both SGML and XML are recognized as meta languages = that=20 allow communities of data owners to describe their = information=20 assets in ways that reflect how they develop, store, and = process=20 that information. Because knowledge representation is so = strongly=20 related to corporate cultures and community jargon, most = attempts to=20 define a universal DTD have ended up either unused or = unfinished. The ideal for information interchange is = to share=20 the semantics and the transformational rules for this = information=20 with other data-owning communities.

Second, most companies rely on many delivery systems, or = process=20 their information in ways that differ widely from company to = company. Therefore any attempt at a universal tool = set also=20 proves futile. The ideal for tools management is to = base a=20 processing architecture on standards, to leverage the = contributed=20 experience of many others, and to solve common problems in a = broad=20 community.

Third, most attempts to formalize a document description=20 vocabulary (DTD, or schema) have been done as information = modeling=20 exercises to capture the current business practices = of data=20 owners. This approach tends to encode legacy = practices into=20 the resulting DTDs or vocabularies. The ideal for future=20 extensibility in DTDs for technical information (or any=20 information that is continually exploited at the leading = edge of=20 technology) is to build the fewest possible presumptions = about the=20 top-down processing system into the design of the DTD.

In the beginning, the workgroup tried to understand XML's = role in=20 this leading edge of information technology. As the work = progressed,=20 the team became aware that any DTD design effort would have = to=20 account for a plurality of vocabularies, a tools-agnostic = processing=20 paradigm, and a legacy-free view of information structures. = Many=20 current DTDs incorporate ways to deal with some of these = issues, but=20 the breadth of the issues leads to more than just a DTD. To = support=20 many products, brands, companies, styles, and delivery = methods, we=20 had to consider the entire authoring-to-delivery process. = What=20 resulted was a range of recommendations that required us to=20 represent our design, not just as a DTD, but as an = information=20 architecture.

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Main features of the = DITA=20 architecture

As the "Architecture" part of DITA's name suggests, DITA = has=20 unifying features that serve to organize and integrate=20 information:

Topic orientation. The highest standard = structure in=20 DITA is the topic. Any higher structure than a topic is = usually=20 part of the processing context for a topic, such as a=20 print-organizing structure or the helpset-like navigation = for a=20 set of topics. Also, topics have no internal hierarchical = nesting;=20 for internal organization, they rely on sections that = define or=20 directly support the topic.=20
Reuse. A principal goal for DITA has been to = reduce the=20 practice of copying content from one place to another as a = way of=20 reusing content. Reuse within DITA occurs on two levels:=20
- Topic reuse. Because of the non-nesting = structure of=20 topics, a topic can be reused in any topic-like context. = Information designers know that when they reuse a topic = in a new=20 information model, the architecture will process it = consistently=20 in its new context.=20
- Content reuse. The SGML method of declaring = reusable=20 external entities is available for XML users, but this = has=20 several practical limitations in XML. DITA instead leans = toward=20 a different SGML reuse technique and provides each = element with=20 a conref attribute that can point to any other = equivalent=20 element in the same or any other topic. This referencing = mechanism starts with a base element, thus assuring that = a=20 fail-safe structure is always part of the calling topic = (the=20 topic that contains the element with the conref = attribute). The=20 new content is always functionally equivalent to the = element=20 that it replaces.
Specialization. The class mechanism in CSS = indicates a=20 common formatting semantic for any element that has a = matching=20 class value. In the same way, any DITA element can be = extended=20 into a new element whose identifier gets added to the = class=20 attribute through its DTD. Therefore, a new element is = always=20 associated to its base, or to any element in its = specialization=20 sequence.=20
- Topic specialization. Applied to topic = structures,=20 specialization is a natural way to extend the generic = topic into=20 new information types (or infotypes), which in turn can = be=20 extended into more specific instantiations of = information=20 structures. For example, a recipe, a material safety = data sheet,=20 and an encyclopedia article are all potential = derivations from a=20 common reference topic.=20
- Domain specialization. Using the same = specialization=20 principle, the element vocabulary within a generic topic = (or set=20 of infotyped topics) can be extended by introducing = elements=20 that reflect a particular information domain served by = those=20 topics. For example, a keyword can be extended as a unit = of=20 weight in a recipe, as a part name in a hardware = reference, or=20 as a variable in a programming reference. A specialized = domain,=20 such as programming phrases, can be introduced by = substitution=20 anywhere that the root elements are allowed. This makes = the=20 entire vocabulary available throughout all the infotyped = topics=20 used within a discipline. Also, a domain can be replaced = within=20 existing infotyped topics, in effect hiding the jargon = of one=20 discipline from writers dealing with the content of = another. Yet=20 both sets of topics can be appropriate for the same user = roles=20 of performing tasks or getting reference information. =
Property-based processing. The DITA model = provides=20 metadata and attributes that can be used to associate or = filter=20 the content of DITA topics with applications such as = content=20 management systems, search engines, processing filters, = and so on.=20
- Extensive metadata to make topics easier to = find. The=20 DITA model for metadata supports the standard categories = for the=20 Dublin Core Metadata Initiative. In addition, the DITA = metadata=20 enables many different content management approaches to = be=20 applied to its content.=20
- Universal properties. Most elements in the = topic DTD=20 contain a set of universal attributes that enable the = elements=20 to be used as selectors, filters, content referencing=20 infrastructure, and multi-language support. In addition, = some=20 elements, whose attributes can serve a range of = specialized=20 roles, have been analyzed to make sure that their = enumerated=20 values provide a rich basis for specialization (which = usually=20 constrains values and never adds to them).
Taking advantage of existing tags and tools. = Rather=20 than being a radical departure from the familiar, DITA = builds on=20 well-accepted sets of tags and can be used with standard = XML=20 tools.=20
- Leveraging popular language subsets. The core = elements in DITA's topic DTD borrow from HTML and XHTML, = using=20 familiar element names like p, ol, ul, and dl within an=20 HTML-like topic structure. In fact, DITA topics can be = written,=20 like HTML for rendering directly in a browser. In more = ambitious=20 designs, DITA topics can be written, like SGML, to be = normalized=20 through processing into a deliverable -- say, XHTML or a = well-formed XML format targeted for a particular = browser's=20 ability to handle XML. Also, DITA makes use of the = popular OASIS=20 (formerly CALS) table model.=20
- Leveraging popular and well-supported tools. = The XML=20 processing model is widely supported by a number of = vendors. The=20 class-based extension mechanism in DITA translates well = to the=20 design features of the XSLT and CSS stylesheet languages = defined=20 by the World Wide Web Consortium and supported in many=20 transformation tools, editors, and browsers. DITA topics = can be=20 processed by a spectrum of tools ranging from shareware = to=20 custom tailored products, on almost any operating = platform.=20

= Back=20 to=20 = top

The topic as the basic=20 architectural unit

The various information architectures for online = deliverables all=20 tend to focus on the idea of topics as the main design point = for=20 such information. A topic is a unit of information that = describes a=20 single task, concept, or reference item. The information = category=20 (concept, task, or reference) is its information type (or = infotype).=20 A new information type can be introduced by = specialization=20 from the structures in the base topic DTD. Typed topics are = easily=20 managed within content management systems as reusable, = stand-alone=20 units of information. For example, selected topics can be = gathered,=20 arranged, and processed within a delivery context to = provide=20 a variety of deliverables. These deliverables might be = groups of=20 recently updated topics for review, helpsets for building = into a=20 user assistance application, or even chapters or sections in = a=20 booklet that are printed from user-selected search results = or=20 "shopping lists."

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Benefits of the DITA=20 architecture

Through topic granularity and topic type specialization, = DITA=20 brings the following benefits of the object-oriented model = to=20 information sets:

Encapsulation. The designer of the topic type = only=20 needs to address a specific, manageable problem domain. = The author=20 only needs to learn the elements that are specific to the = topic=20 type. The implementer of the processing for the topic type = only=20 needs to process elements that are special.=20
Polymorphism. Special topic types can be = treated as=20 more generic topic types for common processing.=20
Message passing. The class attribute preserves = at all=20 times the derivation hierarchy of an element. At any time, = a topic=20 may be generalized back to any earlier form, and if the = class=20 attributes are preserved, these topics may be = re-specialized. One=20 use of this capability would be to allow two separate = disciplines=20 to merge data at an earlier common part of the = specialization=20 hierarchy, after which they can be transformed into one, = the=20 other, or a brand new domain and set of infotyped topics. =

DITA can be considered object-oriented due to:

Data and processors that are separated from their = environment=20 and can be chunked to provide behaviors similar to=20 object-orientation (such as override transforms that = modify or=20 redefine earlier behaviors).=20
Classification of elements through a sequence of = derivations=20 that are progressively more specific, possibly more = constrained,=20 and always rigidly tied to a consistent processing or = rendering=20 model.=20
Inheritance of behaviors, to the extent that new = elements=20 either fall through to behaviors for ancestors in their = derivation=20 hierarchy, or can be mapped to modified processors that = extend=20 previous behaviors.

With discipline and ingenuity, some of the benefits of = topic=20 information sets can be provided through a book DTD. In = particular,=20 techniques for chunking can generate topics out of a book = DTD. In=20 DITA, the converse approach is possible: A book can be = assembled=20 from a set of DITA topics. In both cases, however, the = adaptation is=20 secondary to the primary purpose of the DTD -- that is, if = you are=20 primarily authoring books, it makes the most sense to use a = DTD that=20 is designed for books. If you are primarily authoring = topics, it=20 makes sense to use a DTD that is designed for topics and can = scale=20 to large, processable collections of topics.

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DITA = overview

The Darwin Information Typing Architecture defines a set = of=20 relationships between the document parts, processors, and=20 communities of users of the information. DITA has the = following=20 layers that relate to specific design points expressed in = its core=20 DTD, topic.

Layers in the Darwin Information Typing = Architecture

Delivery = contexts
helpset	aggregate printing	Web site; information=20 portal

Typed topic=20 structures
topic	concept	task	reference

Specialized = vocabularies=20 (domains) across information types
Typed topic:	concept	task	reference
Included domains:	highlighting = software=20 programming user interface

Common = structures
metadata	OASIS (CALS) = table

A typed topic -- whether concept, task, or reference -- = is a=20 stand-alone unit of ready-to-be-published information. Above = the=20 typed-topic layer are any processing applications that may = be driven=20 by a superset DTD; below it are the two types of content = models that=20 form the basis of all specialized DTDs within the = architecture.=20 Next, we'll look at each of these layers in more = detail.

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DITA delivery=20 contexts

This domain represents the processing layer for topical=20 information. Topics can be processed singly or within a = delivery=20 context that relates multiple topics to a defined = deliverable.=20 Delivery contexts also include document management systems,=20 authoring units, packages for translation, and more.

delivery = contexts
helpset	aggregate printing	Web site; information=20 portal

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DITA typed topic = specializations=20 (infotyped topics)

The typed topics represent the fundamental structuring = layer for=20 DITA topic-oriented content. The basis of the architecture = is the=20 topic structure, from which the concept, = task,=20 and reference structures are specialized. = Extensibility to=20 other typed topics is possible through further = specialization.

typed topic=20 structures
topic	concept	task	reference

The four information types (topic, concept, task, and = reference)=20 represent the primary content categories used in the = technical=20 documentation community. Moreover, specialized information = types,=20 based on the original four, can be defined as required.

As a notable feature of this architecture, communities = can define=20 or extend additional information types that represent their = own=20 data. Examples of such content include product support = information,=20 programming message descriptions, and GUI definitions. In = addition=20 to the ability to type topics and define specific content = models=20 therein, DITA also provides the ability to extend tag = vocabularies=20 that pertain to a domain. Domain specialization takes the = place of=20 what had been called "shared structures" in DITA's original=20 design.

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DITA vocabulary = specialization=20 (domains)

Generally, when a set of infotyped topics are used within = a=20 domain of knowledge, such as computer software or hardware, = a common=20 vocabulary is shared across the infotyped topics. However, = the same=20 infotyped topic can be used across domains that have = different=20 vocabularies and semantics. For example, a hardware = reference topic=20 might refer to diagnostic codes while a software reference = topic=20 might refer to error message numbers, with neither domain=20 necessarily needing to expose the other domain's unique = vocabulary=20 to its own writers.

Using the same technique as specialization for topics, = DITA=20 allows the definition of domains of special vocabulary that = can be=20 shared among infotyped topics. Domains can even be elided = entirely,=20 to produce typed topics that have only the core elements. <= SUP>1=20 The vocabulary of a domain can take the form of phrases, = special=20 paragraphs, and lists -- basically anything allowed within a = section, the smallest organizing part of a topic.

specialized = vocabularies=20 (domains) across information types
Typed topic:	concept	task	reference
Included domains: =	highlighting = software=20 programming user interface

The basic domains defined as examples for DITA = include:

Domain	Elements
highlighting	b, u, i, tt, sup, = sub
software	msgph, msgblock, msgnum, = cmdname,=20 varname, filepath, userinput, systemoutput
programming	codeph, codeblock, option, = var,=20 parmname, synph, oper, delim, sep, apiname, parml, = plentry,=20 pt, pd, syntaxdiagram, synblk, groupseq, groupchoice,=20 groupcomp, fragment, fragref, synnote, synnoteref, = repsep, kwd=20
user interface	uicontrol, wintitle, = menucascade,=20 shortcut

By following the rules for specializing a new domain of = content,=20 you can extend, replace, or remove these domains. Moreover, = content=20 specialization enables you to name and extend any = content=20 element in the scope of DITA infotyped topics for a more=20 semantically significant role in a new domain.

To enable specialized vocabulary, you declare a parameter = entity=20 equivalent for every element used in a DTD (such as a topic = or one=20 of its specializations), and then use the parameter entities = instead=20 of literal element tokens within the content models of that = DTD.=20 Later, after entity substitution, because an element's = parameter=20 entity is redefined to include both the original element and = the=20 domain elements derived from that element, anywhere the = original=20 element is allowed, the other derived domain elements are = also=20 allowed. In effect, a domain-agnostic topic can be easily = extended=20 for different domains by simply changing the scope of entity = set=20 inclusions in a front-end DTD "shell" that formalizes the = vocabulary=20 extensions within that typed topic or family of typed = topics

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DITA common=20 structures

One of the design points of DITA has been to exploit the = reuse of=20 common substructures within the world of XML. Accordingly, = the topic=20 DTD incorporates the OASIS table model (known originally as = the CALS=20 table model). It also has a defined set of metadata that = might be=20 shared directly with the metadata models of quite different = DTDs or=20 schemas.

common = structures
metadata	OASIS (CALS) = table

The metadata structure defines document control = information for=20 individual topics, higher level processing DTDs, or even for = HTML=20 documents that are associated to the metadata as sidefiles = or as=20 database records.

The table structure provides presentational semantics for = body-level content. The OASIS/CALS table display model is = supported=20 in many popular XML editors.

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Elements designed for=20 specialization

DITA provides a rich base for specialization because of = the=20 general design of elements used in its archetype-like topic = DTD.

For example, a section in the base topic DTD can contain = both=20 text and element data. However, a section can be specialized = to=20 eliminate PCDATA, yielding an element-only content model = similar to=20 the body level of most DTDs. Specialized another way, a = section can=20 eliminate most block-like elements and thus be characterized = as a=20 description for definitions, field labels, parts, and so = forth.

With DITA, an effort has been made to select element = names that=20 are popular or that are common with HTML. Some semantic = names have=20 been borrowed from industry DTDs that support large SGML = libraries,=20 such as IBMIDDoc and DocBook.

The attribute lists within the topic DTD reflect this = design=20 philosophy. For example, one of the "universal attributes" = (which=20 appear on most elements) is importance, which = defines=20 values for weightings or appraisals that are often used as=20 properties in specialized elements. This attribute shows up = in=20 several elements of the task topic specialization with only = two=20 allowed values out of the original set: "optional' and = "required."=20 In other domains, the elements are more appropriately ranked = as=20 "high" or "low" -- again values that are provided at the = topic=20 level.

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The values of=20 specialization

A company that has specific information needs can define=20 specialized topic types. For example, a product group might = identify=20 three main types of reference topic: messages, utilities, = and APIs.=20 By creating a specialized topic type for each type of = content, the=20 product architect can ensure that each type of topic has the = appropriate content. In addition, the specialized topics = make=20 XML-aware search more useful, because users can make = fine-grained=20 distinctions. For example, a user could limit a search for=20 xyz only in messages or only in APIs. A user could = also=20 search for xyz across reference topics in = general.

Rules govern how to specialize safely: Each new = information type=20 must map to an existing one, and must be more restrictive in = the=20 content that it allows. With such specialization, new = information=20 types can use generic processing streams for translation, = print, and=20 Web publishing. Although a product group can override or = extend=20 these processes, they get the full range of existing = processes by=20 default, without any extra work or maintenance.

A corporation can have a series of DTDs that represent a=20 consistent set of information descriptions, each of which = emphasizes=20 the value of specialization for those new information = types.

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Role of content = communities in=20 DITA

The technical documentation community that designed this=20 architecture defined the basic architecture and shared = resources.=20 The content owned by specified communities (within or = outside of the=20 defining community) can reuse processors, styles, and other = features=20 already defined, but those communities are responsible for = defining=20 their unique business processes based on the data that they = manage.=20 They can manage data by creating a further specialization = from one=20 of the base types.

The following figure represents how communities, as = content=20 owners at the topic level, can specialize their content = based on the=20 core architecture.

Figure 1. = Relationship of specialized communities to the base=20 architecture
3D"Relationship

In this figure, the overlap represents the common = architecture=20 and tools shared between content-owning communities that use = this=20 information architecture. New communities that define typed=20 documents according to the architecture can then use the = same tools=20 at the outset, and refine their content-specific tools as=20 needed.

= Back=20 to=20 = top

End = notes

¹In the original design of DITA, all of the = shared=20 vocabulary had been made global to all information types by = being=20 defined in the topic DTD, which had two undesireable = effects:

New vocabulary could not be added without increasing = the size=20 of the core DTD.=20
Certain domain-specific vocabulary could not be = prohibited for=20 DTDs specialized for a different domain.

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Notices

The information provided in this document has not been = submitted=20 to any formal IBM test and is distributed "AS IS," without = warranty=20 of any kind, either express or implied. The use of this = information=20 or the implementation of any of these techniques described = in this=20 document is the reader's responsibility and depends on the = reader's=20 ability to evaluate and integrate them into their operating=20 environment. Readers attempting to adapt these techniques to = their=20 own environments do so at their own risk.

=C2=A9 Copyright International Business Machines Corp., = 2002. All=20 rights reserved.

= Back=20 to=20 = top

Resources

IBM donated DITA to the OASIS standards organization in = March=20 of 2004, where it is now managed by the OASIS DITA = Technical=20 Committee (http://www.oasis-open= .org/committees/dita/).=20 In April of 2005, OASIS approved Version 1.0 of the DITA=20 specification, which consists of the following = documents:
- OASIS Darwin Information Typing Architecture (DITA) = Language=20 Specification: http:/= /xml.coverpages.org/DITAv10-OS-LangSpec20050509.pdf=20
- OASIS Darwin Information Typing Architecture (DITA)=20 Architectural Specification: http:/= /xml.coverpages.org/DITAv10-OS-ArchSpec20050509.pdf=20
- A consolidated .zip file with all specifications, = DTDs, and=20 Schemas is publicly available in the documents section = of the=20 OASIS DITA Technical Committee site: = http://www.oasis-open.org/committees/download.php/12091/cd2.zip=20
A reference implementation toolkit for both the = developerWorks=20 and OASIS 1.0 versions of the DITA DTDs/Schemas is = available at=20 the DITA Open Toolkit project site on SourceForge: http://dita-ot.sourceforge.net/<= /A>.=20 The DITA Open Toolkit supercedes all previous versions = published=20 on developerWorks, the last version of which was commonly = called=20 "dita132".
Find out more about DITA in a companion article, Specializing=20 topic types in DITA, which outlines how to implement = DITA=20 specialization (developerWorks, updated September = 2005).
Read Erik Hennum's article Specializing=20 domains in DITA, which shows you how to leverage the=20 extensible DITA DTD to describe new domains of information = (developerWorks, updated September 2005).
Find out how to join the discussion in the DITA=20 forum, moderated by Don Day and Michael = Priestley.
Go directly to the DITA=20 forum.
Download=20 the latest DITA DTDs, stylesheets, and sample=20 documents.
Refer to the DITA=20 FAQ set (developerWorks, updated September = 2005).
Get some background on the topic of information = architecture=20 at the Argus=20 Center for Information Architecture or the 10=20 Questions about Information Architecture = site.

= Back=20 to=20 = top

About the=20 authors


		Besides his main work as husband, father, and cat = lover,=20 Don designs and supports publishing tools for IBM's=20 Information Development community and has represented = IBM on=20 the W3C XSL and CSS Working Groups. He has B.A.s in = English=20 and Journalism and an M.A. in Technical and = Professional=20 Communication from New Mexico State University. You = can=20 contact Don at mailto:dond@us.ibm.com?cc=3D.


		Michael Priestley is an information developer for = the IBM=20 Toronto Software Development Laboratory. He has = written=20 numerous papers on subjects such as hypertext = navigation,=20 singlesourcing, and interfaces to dynamic documents. = He is=20 currently working on XML and XSL for help and = documentation=20 management. You can reach Michael at mailto:mpriestl@ca.ibm.com?cc=3D= .


		Dave Schell is IBM's chief strategist and tools = lead in=20 support of its technical writing (User Technology) = community.=20 You can reach Dave at mailto:dschell@us.ibm.com?cc=3D<= /A>.

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