How to cite this paper
XHTML Dialects: Interchange over domain vocabularies through upward expansion
With examples of manifesting and validating microformats
Balisage: The Markup Conference 2010
August 3 - 6, 2010
Current practices for vocabulary relations
The common practice of customizing standard XML vocabularies
results in variant vocabularies.
Subset vocabularies are particularly useful because they can be converted
to the standard vocabulary for interoperability.
Restrictive substitution guarantees subset vocabularies but
has practical limitations on flexibility and process.
A method for recognizing the common superset of independent derivations has
significant potential benefits.
Community and its discontents
In accepted XML practice, a community typically meets its requirements
for representing the data or discourse for a domain
by creating a standard vocabulary.
At the present time, the Organization for the Advancement of Structured Information
Standards (OASIS) has approved
over 30 distinct standard
vocabularies for different domains
(including electronic business, elections, emergency alerting, security assertions,
and so on).
Of course, many domain vocabularies are maintained at other consortia or
Such standard efforts take on the difficult challenge of arriving at a
consensual definition of the knowledge of a community.
As an equally common practice, the committee writing the schema
that defines the standard provides mechanisms for customizing the vocabulary.
For instance, HTML DTDs have long supported adding or deleting elements or attributes
in any content model.
A former member of the W3C Technical Architecture Group has gone so far
as to mandate extensibility as a prime rule for any vocabulary
This emphasis on customization argues that a standard vocabulary is often only an
approximation of the real requirements of adopters.
The divergent imperatives for conformance and customization reflect
a fundamental tension between the value of community and individuality:
Conformance minimizes adoption effort,
encourages vendor independence, and
guarantees interoperability with other conformant adopters.
Customization meets real requirements, allows innovation, and
represents the adopter's knowledge without compromise.
Customizations can pose to a lesser degree the same interchange challenges
as unrelated vocabularies.
For instance, interchange between a DocBook customization and standard DocBook
can require a custom transform.
Depending on the extent of customization, such transforms can be
brittle at the edge, posing interpretation problems where an element
has no equivalent in the target vocabulary and leading to tag abuse.
In short, the DocBook committee has good reason to warn that any customization
is no longer DocBook (see
More formally, customizations can result in a vocabulary that has a subset,
superset, intersect, or disjunct relationship with the standard vocabulary.
The TEI committee recognizes customizations that create a pure subset of TEI
as clean customizations
Subset customizations merit particular attention because they can convert
a customized instance to a valid base instance, providing interoperability
with other adopters and thus reducing concerns about customization.
Superset customizations, by contrast, convert to a base instance
only if the the additions in the customized instance are possible to ignore
without producing a garbled document.
Vocabulary relations through formal types in XSD
XML Schema (XSD) provides mechanisms for establishing
formal relationships between vocabularies.
In particular, XSD supports definition of formal types with inheritance relations
In XSD, a derived type can have either of two relations to an existing base type:
A superset relation. The extended
type must allow all of the content of the base type as well as the additions.
Instances of the base type have a guaranteed conversion to the extended type.
A subset relation. The new type can restrict the
range of occurrences of the content of the base type.
For instance, a particle with zero or one occurrences can be reduced
to one and only one occurrence.
The new type can also replace a contained type in the content
with a restricted type for the contained type (or with a
substitution group including any combination of the contained type and
Instances of the restricted type have a guaranteed conversion to the base type.
Because the new type has exactly one base type in XSD,
the type relations construct a dependency hierarchy with a single root.
The superset-subset relations established through these dependencies
do not constitute a hierarchy.
In particular, through extension, new types can add many different supersets
of an existing type.
As with well-established Object-Oriented programming languages like Java,
the type relations are an immutable design feature of the type.
XSD manages type relations for design and validation but does not
expose type relations for application processing.
Instead, Schema Component Designators
a companion standard,
makes type relations available for inspection and processing.
Subset vocabularies in DITA
The Darwin Information Typing Architecture
provides a method called specialization
for defining vocabularies by deriving new types from base types.
At present, DITA doesn't implement specialization with XSD type restrictions.
The designer implements vocabularies in either DTD or XSD modules,
following the rule that each new type restricts its base type and
using tools to check conformance.
Specialization emphasizes semantic as well as structural derivation.
That is, the derived type must have a meaning narrower than and subsumed in
the base type.
As in XSD, the type relations construct a single hierarchy, but the type hierarchy
reflects restriction instead of dependency.
DITA implements most of the vocabulary approved as part of the standard
through specialized types.
Adopters have also used specialization to derive vocabularies for automotive,
financial, learning, legal, medical, and other domains.
The base vocabulary provides a number of benefits for the design work
on these vocabularies:
Seeding designs with the vocabulary so the design effort
becomes one of selection and refinement rather than starting from scratch.
Minimizing the implementation effort through reuse
of portions of the base implementation.
Grounding interpretation of each derived type
in a familiar base type.
Guaranteeing interoperability at a general level.
Applications recognize vocabularies by inspecting
the defaulted values of architectural attributes.
Each element instance declares its type ancestry,
but types that are not instanced in the document are not visible.
Instead, instanced types are associated with modules, and all modules are
declared with an architectural attribute.
That is, applications can inspect and compare vocabularies at module rather than
General semantics and loose models in the restriction base
For clarity, this paper will use the term
restrictive substitution for the type relationship
restriction in XSD and as
in DITA) that produces subset vocabularies.
Restrictive substitution provides flexibility for vocabulary design only
when the base vocabulary includes at least a few semantically general types
with loose content models.
In particular, a recursive general type with any occurrence of mixed content
can supply a base for deriving any element structure.
For example, consider a recursive name structure as declared
by the following grammar fragment:
Content: (text | NameStructure)*
By substituting a derived type with text content for NameStructure, a designer
can represent a name as simple text content:
Another designer can derive types to represent a name with carefully structured
name parts (by substituting derived types as both container and
Content: (FirstName?, OtherName*, Surname, Lineage?)
The two derivations embody very different notions
of the content that represents a name, but
a valid instance of either derivation can convert
to a valid instance of NameStructure.
In the conversion, the semantics of the derivation are lost,
but that accurately reflects the more abstract representation
of the content at the base level.
Rationale for restrictive substitution
Even in cases without a strong semantic relationship between
the broader and narrower types, restrictive substitution has value:
For many specialized domains, a portion of the authored content
consists of structured text without more specific semantics —
sections, tables, lists, paragraphs, phrases, terms, and the like
(as in the legislative domain;
That is, many domain vocabularies require general-purpose types.
Where the markup annotates readable data or discourse,
conversion to a base markup with enough structure to format the text
still has value through support of human readability.
For example, rows of geolocated data still have utility as a readable table
even after dropping the special column semantics for typing the cell values.
Where the markup captures values that are not meaningful text
but, instead, parameterize an object or interaction, preserving the values
as ignored text in a base representation still has utility.
Developers can inspect the values in context and more easily
implement the necessary interpretation.
(Of course, such cases are often best handled with a textual fallback that's recognized
at the base level but ignored by processing that recognizes the special semantics,
as with multimedia objects.)
Limitations of restrictive substitution
Some factors limit the problems solvable
through restrictive substitution alone.
First, when an adopter has an understanding of a content type
that is broader than or intersects with the standard type,
the only alternatives are requesting expansion of the standard type
or implementing a competing non-standard type with no relation
to the standard type.
For instance, while the DITA 1.0 design for the task type met the requirements
of its initial adopters, subsequent adopters had requirements for
a broader content model with the same semantic.
The requesters have had to wait for DITA 1.2 for this change.
Orchard (see ORCHARD)
has recommended providing wildcards in content models to solve this problem.
A derived type tolerated through a wildcard, however, has no interpretation or
processing at the base level.
That is, the instances of the derived type can only be ignored at the base level,
which is not optimal for data or discourse that has special semantics but
can be formatted as structured text.
In short, with restrictive substitution alone,
the designer has the burden of trying to anticipate the diversity of reasonable
variant perspectives on the information in the domain.
As a consequence, the knowledge representation for the domain cannot grow
through decentralized, independent activity.
Second, a derived vocabulary that provides a precise representation
for a domain is no longer a good base for subsequent restrictive substitution.
In particular, for many data structures, the content models have particles with
precise an occurrence of at most one.
As a result, substitution cannot increase the number of types in the content model.
For instance, in the PersonName example, the FirstName, Surname, and Lineage
types have at most one occurrence.
In such cases, restrictive substitution cannot insert more particles
a content model.
Type relations in OWL
OWL (see OWLOVER)
has a core goal of enabling concurrent creation
of distributed and related vocabularies.
The solutions employed by RDF raise useful considerations
for XML vocabularies:
As part of the principle that anyone
can make statements about any resource
the OWL definitions of classes can be independent of
the definitions of relationships between those classes.
Applied to markup types, this principle suggests an ability to maintain
type relationships independent of the markup types definitions.
An OWL subclass can have many base classes, and
the OWL subclass relation is transitive
Consider two grocers.
One asserts that Orange is a subclass of Fruit.
Another asserts that Lemon is a subclass of Citrus.
These independent class relations can be integrated for interoperability
without invalidating or modifying existing class relations merely
by adding new assertions that Orange is a subclass of Citrus
and that Citrus is a subclass of Fruit.
Type insertion: Inserting a base type
Distinct types integrated by inserting the Citrus base type
between the Orange derived type and the existing Fruit base type.
Applied to markup type relations, this principle suggests
the ability to add new, less restrictive base types as needed
to recogize commonality between types in different vocabularies.
Under the Open World Assumption,
the distributed OWL / RDF graph tolerates multiple perspectives
with the expectation that each processor will use common objects and properties
without commitment to all persectives
Graph subset intersect: Intersecting subsets of a graph
Different, intersecting subsets of the graph
representing the type relations of interest to different adopters.
Applied to markup type relations, this principle suggests
that processors can use the base types related to current interchange or
other processing and ignore uninteresting base types.
An OWL class has a set of unique properties with cardinality
but not sequence or nested grouping.
Applied to markup type relations, this principle suggests
that formal types could have similar simplified content models.
As Dattolo et al
have pointed out, simplified content models can still support
If the association between contained type and position
is unambiguous for a container type, processes can impose sequence
Nested groups (such as a choice of sequences) can be supported
as the content of explicit grouping container types.
Type definitions with simple content models instead of complex grammars
have several benefits for tools and vocabulary designers:
Dynamic inspection of content model designs becomes easier
Correct restriction of content models becomes an
easier design task.
Diagnostics for design issues become easier
Of course, content models without sequence in the type definition
do not remove the ability to preserve sequence in instances
(any more than a choice with multiple occurrences in a schema removes
the need to preserve sequence of instances of the choice in an document).
Scenarios for upward expansion
Applying the OWL approaches to the XML technique
of restrictive substitution suggests an approach of
for definition of less restrictive base types
without modifying existing type definitions.
The following scenarios illustrate the potential benefits of this approach
for markup types:
In the PersonName example, a new adopter needs to identify
persons by name, but some people have epithets
Funes, the Memorious).
The adopter needs a new type that is a pure superset of the
existing PersonName type.
The adopter can create a new GeneralPersonName type with
the same content model as PersonName augmented by an Epithet type and
declare it as derived from NameStructure and as a base for PersonName.
Content: (FirstName?, OtherName*, Surname, Lineage?, Epithet?)
The adopter can now create instances conforming to the existing PersonName
vocabulary or instances with epithets.
In addition, instances of the PersonName vocabulary can be converted
to instances of the new GeneralPersonName vocabulary by a tool
that reads the type relationships.
A custom transform is not needed.
In a variation on the first scenario, a new adopter
describes persons who always have epithets and never have lineage.
The adopter needs a new type that intersects with the
existing PersonName type without a pure subset or superset relation.
The adopter can create the GeneralPersonName type as before
but derive a new RenownedPersonName type from GeneralPersonName:
Content: (FirstName?, OtherName*, Surname, Epithet)
The adopter can now create instances of persons with epithets.
Because both this new type and the existing PersonName type convert
without loss to the GeneralPersonName type, the adopter retains
interoperability with PersonName content at the GeneralPersonName level.
In a variant of the second scenario, a practitioner
who is unaware of the PersonName type has independently created
a renowned-person-name type:
Content: (first-name?, last-name, epithet)
The practitioner later discovers a need for interoperability
with the PersonName type.
The practitioner can derive a new GeneralPersonName type as before
and declare it as the base for the PersonName and renowned-person-name
types along with similar derivation declarations for the types in the content
The new GeneralPersonName type represents the superset
of the two, independently created types.
As these quick scenarios illustrate, upward expansion
could greatly expand the set of problems solvable through restrictive substitution
and, more generally, recognize existing document types as subsets
of a more general domain vocabulary.
Managing vocabulary relationships aligns with some work on categories
in the Philosophy of Language and Prototype Theory.
Given that markup annotates data or discourse with categorical types,
these alignments are valuable to consider.
Wittegenstein's discussion of family resemblance and the language game
makes two fundamental points
First, that a category such as bird is defined not
by a single set of core properties but, instead, by variant and overlapping properties
among members as distinct as albatross, flamingo, grouse, parrot, penguin,
ostrich, and woodpecker.
Second, formal rules establishing more consistent but restricted versions of a category
are justified by their utility.
Building on Wittegenstein's work to develop Prototype Theory,
Rosch identifies levels of abstraction among categories
Minimally concrete categories (as with cardinal,
eagle, and sparrow)
provide as much abstraction as possible without losing easy recognition of members.
By contrast, more abstract categories (superordinates such as
bird) lack sufficient concrete information
for the same degree of confidence in recognition. (For instance,
bat is more prone to misidentification as a member of
as a member of sparrow.)
Special concrete categories (subordinates such as
bald eagle and
golden eagle) support somewhat better recognition
than minimally concrete categories but at the cognitive cost of a proliferation
Finally, Rosch notes that minimally concrete categories typically precede
both abstract categories and special concrete categories,
which are often constructed by contrast with minimally concrete categories on need.
These theories suggest the following perspective on relationships
between markup vocabularies:
Intersecting subset vocabularies can fill the role
of minimally concrete categories in Prototype Theory,
overlapping to express family resemblance.
For example, a ship-tracking vocabulary might share location coordinates
but not the depth dimension with a geophysical-event vocabulary.
From the perspective of the language game, each basic vocabulary applies
its own useful rules for formalizing consistent locations.
Superset vocabularies can fill the role of abstract
categories in Prototype Theory, integrating minimally concrete categories.
For example, to integrate tremor data with tsunami observations,
a general location vocabulary could define a union
of the ship-tracking and geophysical-event vocabularies.
Subset vocabularies can fill the role of special concrete
categories in Prototype Theory,
refining a minimally concrete category with narrower semantics and
more specific properties.
For instance, a vocabulary for tracking maritime research vessels might capture
water temperature and salinity as part of the location.
From this perspective, the base vocabulary supplies general-purpose types
for the derivation of minimally concrete vocabularies.
The base vocabulary also provides an upper bound for the abstract vocabularies.
Dialects: Defining and managing vocabulary subsets
From the preceding discussion, a solution for vocabulary relationships
with upward expansion would have the following features:
Definition of subset vocabularies
(the dialects) from a base vocabulary
through restrictive substitution.
Addition of any number of more general dialect types at any time
above an existing dialect type for the same base vocabulary.
Management of type inheritance and containment relations
in a graph inspectable by applications.
Separation of the type relation graph
from the schema used to validate document instances.
The separation of
and physical models has a long tenure in the database community
with parallels in the UML distinction between the conceptual and
implementation classes diagrams.
Modeling formal types in a graph and XML vocabulary in a schema
establishes a similar distinction and is recommended by Bauman
Simplified content models facilitating comparison,
conversion, and other operations on types.
The Dialects mechanism will be useful only for base vocabularies
that include types with the semantic generality and loose content models
necessary for restrictive substitution.
Because a processing instruction can represent a name-value pair
in the content for any element,
a processing instruction might provide a base for adding new attributes
to any dialect type.
Effectively, such attributes are ignored at the base level.
Thus, derivation of attributes from processing instructions is particularly useful
for parameters of objects and interactions that should be ignored at the base level
instead of formatted as readable text.
Identifying the semantic concepts for markup types
Markup types can reflect different perspectives on the content associated
with a concept.
For instance, the name of a person might be seen as a simple string or
as a structure identifying each part of the name.
In particular, markup types representing the same concept
can derive from different base markup types
(where the markup types represent different perspectives on the information
for the concept).
To indicate semantic commonality across markup types,
the graph must be able to associate a markup type with the concept indicated
by the markup type.
RDF offers two methods of definition that could be used to manage
Defines classes of things and their properties
Identifies individual concepts appearing in descriptions
Because XML markup represents a wider range of description than
the properties of things and because SKOS is lighter-weight than OWL,
SKOS offers a better candidate for managing the semantics of markup types.
Ogbuji has noted the suitability of SKOS for identifying markup
semantics (see OGBUJI).
SKOS provides the convenient
terms broader and
for relationships between concepts.
The same terms can be applied usefully to relations between markup types,
reserving the terms base
and dialect for the special case of a grounding
relationship to the base vocabulary.
DuCharme (see DUCHARME)
has noted that RDFa (see RDFA)
can provide a method for marking up document instances with markup concepts.
RDFa has a primary focus of tunneling through documents to express structured data.
RDFa does not offer any assistance for managing type relations independent
of document instances.
Metamodel for the type relation graph
A graph with inheritance relations and containment relations
for simple content models would require the following classes:
A base or dialect type supporting restrictive substitution
of the contained types at its positions.
A base or dialect document vocabulary containing
a single root position and supporting restrictive substitution
of the contained type at the root position.
A set of alternative types.
A position in the content of a container type with cardinality
for a single contained type.
An abstract class for a type or document type.
An abstract class for a type or type set.
The meaning of a container type as a SKOS concept.
Binding the graph to schemas
Associating types in the graph with elements and attributes in schemas
enables interpretation of documents and operations such as conversion
to a related document type.
The binding might take the form of annotations on a manually maintained schema
or of mappings that make it possible to generate schemas in different schema
In either approach, the binding has the following responsibilities:
Assigning names to markup types.
Different schemas might use the same name for different types.
This practice can improve usability by maximizing the familiarity of elements
when an adopter requires multiple variations on the same markup type.
Selecting either the attribute or subelement form
to represent a markup type with a single value as its content
(when positions are not interleaved).
Selecting a sequence of positions for the content model.
These mappings might take defaults from the graph or a preferred schema
for the base vocabulary.
Document instances might reflect the graph binding either indirectly
by means of a catalog entry associating the schema with the document type
or directly by annotating the document instance with a namespaced
attribute (such as dx:doc) on the root element that has a defaulted value
of the document type.
Applications can then use the document type from the graph and the element name or
combination of element and attribute name
to look up the markup type and broader or narrower markup types in the graph.
Variant serializations of document instances
The type relation graph provides applications with detailed insight
that would be difficult to represent directly in the document instance.
Alternate serializations of the document instance that annotate elements
with markup types can, however, make the instance easier to interpret.
Some potential serializations:
Identify the base dialect type of each element through a namespaced
attribute annotation (such as dx:base) on the element with
a CURIE (see CURIE)
This serialization makes the base types visible in a dialect document.
The serialization does not, however, remove the need to look up
the markup types for attributes.
Convert the dialect document instance to a base document instance
(without conversion of added dialect attributes to processing instructions) and
annotate each element with its dialect type through an attribute annotation
(such as dx:type).
This serialization makes the document instance recognizable as a base instance
while retaining visibility of the dialect types on elements and
availability of dialect attributes.
The serialization may be especially useful for processors that can operate
on well-formed instances of known elements, ignoring unknown attributes.
Convert to a base document instance (with conversion
of added dialect attributes to processing instructions).
Where the base markup provides an attribute for lightweight semantic annotation
(such as a class or role attribute), the attribute can identify the dialect type
(possibly using some alternative to CURIE syntax).
This serialization makes the document instance valid as a base instance
while surfacing the dialect types as much as possible.
Finally, multiple document instances can be serialized
together with the type relation graph as an RDF XML document
in which document types have a property with each instance
as an XML literal value.
Processing the type relations graph
General-purpose tools can use the graph to operate on dialects
without hard-coding specific knowledge of the base or dialect vocabularies.
The following operations can be implemented:
Integrity checks on the compatibility of content models.
Content compatibility is necessary to allow
inclusion of one position at another position.
Content compatibility is also a factor in inheritance relations.
The checker must determine whether each position in the narrower content model
has a corresponding position in the broader content model.
The checker must also confirm that the aggregated cardinality
of the narrower positions are within the cardinality range of
the corresponding broader position.
The checker can ignore any type in the content model
where its is a member
of a type set that also has one of its broader types as a member.
By definition, if the broader type is compatible, the narrower type is also compatible.
Integrity checks on inheritance relations between markup types.
A broader type must have broader content, a broader concept, and
the same base type.
Automated discovery of broader dialects as potential conversion
Browsing for markup types.
The graph can act as a repository for existing types to incorporate
into new vocabularies.
A container type can use a markup type
if every broader type of the container has a position with a broader type
of the contained type.
Conversion of document instances from narrower to broader
A document instance is convertible when the root markup type
of the target document type is broader than the root markup type
of the source document type (which guarantees that the entire content tree
Role-oriented processing of a narrower document instances against
Generation of schemas for validation of XML instance documents
For instance, if the graph asserts that the GeneralPerson type is broader than
the PersonName type, checking that the content of PersonName can be converted
to GeneralPerson confirms the integrity of the graph.
The Dialects mechanism would make it possible
to leverage XHTML as a base for representing knowledge in specific domains.
XHTML Dialects would have particular value for accessing content in HTML environments
(such as web browsers, ePUB,
with minimal transforms.
XHTML offers good candidates for restrictive substitution
primarily within the body element.
Because the div and span elements connote useful general structure (block and inline)
and take recursive mixed content, these elements provide a good base
for markup of any readable data or discourse.
More specific base XHTML elements are preferrable where possible
(an approach that microformats guidelines also suggest
(see HTMLPROF) offer a mechanism
for incorporating well-known existing vocabularies (such as
into XHTML as part of the base vocabulary for dialects.
By definition, dialects of an XHTML profile are effectively dialects
of any superset XHTML profile.
Because of the importance of the class attribute in HTML,
XHTML Dialects might provide special operations beyond general-purpose dialects
to map markup type identifiers to microformat tokens in the class attribute
when serializing to base XHTML.
Deriving a document type for a microformat
is a structure expressed in HTML with inline annotations on attributes
identifying narrower semantics.
Thus, by definition, the same structure can be implemented as an XHTML Dialect.
An instance of the equivalent XHTML Dialect can be edited and validated with standard
XML tools but converted to a microformat instance when appropriate.
For example, consider the draft geo microformat
a simple data structure for geographic coordinates.
Here is an example of the microformat:
<abbr class="latitude" title="37.408183">N 37° 24.491</abbr>
<abbr class="longitude" title="-122.13855">W 122° 08.313</abbr>
The following actions can implement a XHTML dialect for the microformat:
Derive a geo dialect type from the div base.
Derive a latitude dialect type from the abbr base.
Derive a longitude dialect type from the abbr base.
Define a document type incorporating the geo dialect type
in a type set with the div base type so geo is available
in all div contexts.
Map the document type to an schema.
The schema could then validate a document instance similar
to following example:
<latitude title="37.408183">N 37° 24.491</latitude>
<longitude title="-122.13855">W 122° 08.313</latitude>
The dialect representation is not only possible to validate
using standard XML tools but also, by hiding the base names and class
attribute noise, easier to interpret.
If an organization would like to adopt the geo type but needs
to associate a name with each location,
the designer can define a NamedGeo type that is broader than the geo type and
that contains a LocationName type as well as the latitude and longitude types.
Instances of the geo type can be converted to the NamedGeo type or extracted
from the NamedGeo type.
This simple geo structure merely scratches the surface of the
structures specified by the microformat project.
The hAtom microformat
offers a more interesting structure that represents
syndication format in XHTML.
As with other microformats, hAtom by definition can be represented as an XHTML dialect.
In addition, however, hAtom suggests the potential value of bridging
an existing XML vocabulary to an XHTML representation.
The bridge preserves the semantics of the the source vocabulary
and, in effect, gives the content an alternate serialization
as an XHTML document.
That option can be especially valuable for RESTful scenarios given
the emphasis on HTML as the preferred hypermedia representation of state.
Benefits of XHTML Dialects
Using XHTML Dialects to create vocabularies has the following
Leverage XML tools and capabilities for validating vocabularies
and manifesting semantics directly as elements
(instead of annotating XHTML elements as in microformats).
Represent wikitext and wiki templates directly in XML
for interchange and easy conversion to HTML.
Simplify design for custom vocabularies by starting
from familar XHTML instead of from scratch.
Render custom vocabularies in browsers or in printable documents
via ePUB without having to write and maintain vocabulary-specific transforms,
instead using generic conversion to base XHTML.
Represent state with explicit semantics and validated content
as part of RESTful approaches while retaining the ability to revert to base XHTML
through content negotiation for consumers that understand only the XHTML representation.
In short, XHTML Dialects offer a good solution for either data and discourse
when the content includes readable text or the deployment includes HTML environments.
The Dialects proposal can benefit from additional prototyping,
experimentation, and discussion.
In particular, the following areas require more attention:
The graph might be capable of deriving a typed structure
from a string through a pattern that maps subfields of the string.
It may be possible to convert a document instance
when the base type of a source element has narrower content than the
base type of the target element.
For instance, a span within a div could convert to a div within a div.
The graph might be capable of supporting conversions
to other base vocabularies that are supersets of the declared base vocabulary.
The binding between a type relation graph and
an XML vocabulary might not require a one-to-one mapping.
For instance, some vocabulary container elements might be cosmetic,
and some container type might be inferrable.
The graph might benefit from conveniences for defining a dialect type
as subsetting or supersetting changes on another type
(with generation of the fully defined type).
An XHTML Dialect for serializing the graph would be
a good demonstration of the capabilities of Dialects and would be useful
for consuming portions of the graph through a RESTful service.
In passing, defining an XHTML 4 dialect with the new markup
of HTML 5 (especially the new discourse elements) would be another good test and
demonstrate a method for agile and experimental evolution of XHTML.
A XHTML Dialect mechanism for defining a narrower document type
by example in an instance of a broader document type would reduce the barriers
for vocabulary designers.
provides a precedent for this approach,
but the narrower types would require only names and model differences.
The Dialects proposal supplies a mechanism
for deriving new dialects from a base document type to support variant representations
of the knowledge for a domain without compromising the ability to exchange information
within a community.
Through upward expansion, Dialects can add new broader dialects as needed
to recognize commonality across dialects.
By making type relations available to applications, compatibility checks,
conversions, role-based processing, and schema generation become feasible
and interpretation becomes possible to formalize (leveraging RDF technologies).
In particular, XHTML Dialects can enrich the XHTML ecosystem
with extensions that validate existing microformats, bridge other XML
vocabularies, and represent special information with minimal or no transforms.
[BAUMAN] Bauman, Bruce Todd.
"Prying Apart Semantics and Implementation:
Generating XML Schemata directly from ontologically sound conceptual models."
Presented at Balisage: The Markup Conference 2009, Montréal, Canada,
August 11 - 14, 2009.
In Proceedings of Balisage: The Markup Conference 2009.
Balisage Series on Markup Technologies, vol. 3 (2009). doi:10.4242/BalisageVol3.Bauman01.
[CURIE] Birbeck, Mark and McCarron, Shane, Ed.
"CURIE Syntax 1.0".
W3C, 16 Jan 2009.
[DATTOLO] Dattolo, Antonina et al.
"Converting into pattern-based schemas: a formal approach".
The Extreme Markup Conference, Montreal, Canada, 2007.
[DITA] Priestley, Michael and Hackos, JoAnn, Ed.
"DITA Version 1.1 Architectural Specification".
OASIS, 31 May 2007.
[DOCBOOK] Walsh, Norman.
"DocBook 5: The Definitive Guide".
XML Press, 20 May 2010.
[DUCHARME] DuCharme, Bob.
"Using RDFa with DITA and DocBook".
devx.com, 20 Aug 2009.
[MCGRATH] McGrath, Sean.
"XML in legislature/parliament environments".
14 June 2010.
[MFGEO] Çelik, Tantek, Ed.
microformats.org, 27 Nov 2009.
[MFHATOM] Janes, David, Ed.
microformats.org, 17 Apr 2010.
[MFGUIDE] Çelik, Tantek, Ed.
microformats.org, 6 May 2010.
[MFOVER] Messina, Chris et al, Ed.
"What are microformats?".
microformats.org, 10 Mar 2009.
[OGBUJI] Ogbuji, Uche.
"Thinking XML: Enrich Schema definitions with SKOS".
DeveloperWorks, 11 Nov 2008.
[ORCHARD] Orchard, David.
"Extensibility, XML Vocabularies, and XML Schema".
xml.com, 27 Oct 2004.
[OWLGUIDE] Smith, Michael K. et al, Ed.
"OWL Web Ontology Language Guide".
W3C, 10 Feb 2004.
[OWLOVER] W3C OWL Working Group, Ed.
"OWL 2 Web Ontology Language Document Overview".
27 October 2009.
[RDFA] Adida, Ben et al, Ed.
"RDFa in XHTML: Syntax and Processing".
W3C, 14 Oct 2008.
[RDFCONCEPT] Klyne, Graham and
Carroll, Jeremy J., Ed.
"Resource Description Framework (RDF): Concepts and Abstract Syntax".
W3C, 10 Feb 2004.
[RDFSCHEMA] Brickley, Dan and Guha, R.V., Ed.
"RDF Vocabulary Description Language 1.0: RDF Schema".
W3C, 10 Feb 2004.
[ROSCH] Rosch, E.
"Classification of Real-World Objects: Origins and Representations in Cognition"
in Johnson-Laird, P. and Wason, P, Ed.
"Thinking: Readings in Cognitive Science",
Cambridge University Press, 1977.
[SCD] Holstege, Mary, and Vedamuthu, Asir S., Ed.
"W3C XML Schema Definition Language (XSD): Component Designators".
W3C, 19 Jan 2010.
[SKOS] Miles, Alistair and Bechhofer, Sean, Ed.
"SKOS Simple Knowledge Organization System Reference".
W3C, 18 Aug 2009.
[TEI] Burnard, Lou and Bauman, Syd, Ed.
"P5: Guidelines for Electronic Text Encoding and Interchange".
TEI Consortium, Feb 12 2010.
[HTMLPROF] W3C HTML Working Group.
"XHTML 1.0 The Extensible HyperText Markup Language (Second Edition)"
W3C, 1 Aug 2002.
[XSD] Thompson, Henry S. et al, Ed.
"XML Schema Part 1: Structures Second Edition".
W3C, 28 Oct 2004.
[WITTGENSTEIN] Wittgenstein, Ludwig.
"Philosophical Investigations (3rd Edition)".
Prentice Hall, 1973.
(especially sections 67 and 69)