Table of contents

[Home] [W3C Specs]

1.1 Purpose

1.2 Requirements

1.4 Terminology

1.5 Constraints and Contributions

2.1 Datatype

2.2 Value space

2.3 Lexical space

2.3.1 Canonical Lexical Representation

2.4.1 Fundamental facets

2.4.2 Constraining or Non-fundamental facets

2.5 Datatype dichotomies

2.5.1 Atomic vs. list vs. union datatypes

2.5.2 Primitive vs. derived datatypes

2.5.3 Built-in vs. user-derived datatypes

3 Built-in datatypes

3.1 Namespace considerations

3.2 Primitive datatypes

3.2.1 string

3.2.2 boolean

3.2.3 decimal

3.2.4 float

3.2.5 double

3.2.6 duration

3.2.7 dateTime

3.2.10 gYearMonth

3.2.11 gYear

3.2.12 gMonthDay

3.2.13 gDay

3.2.14 gMonth

3.2.15 hexBinary

3.2.16 base64Binary

3.2.17 anyURI

3.2.18 QName

3.2.19 NOTATION

3.3 Derived datatypes

3.3.1 normalizedString

3.3.2 token

3.3.3 language

3.3.4 NMTOKEN

3.3.5 NMTOKENS

3.3.7 NCName

3.3.9 IDREF

3.3.10 IDREFS

3.3.11 ENTITY

3.3.12 ENTITIES

3.3.13 integer

3.3.14 nonPositiveInteger

3.3.15 negativeInteger

3.3.16 long

3.3.18 short

3.3.19 byte

3.3.20 nonNegativeInteger

3.3.21 unsignedLong

3.3.22 unsignedInt

3.3.23 unsignedShort

3.3.24 unsignedByte

3.3.25 positiveInteger

4 Datatype components

4.1 Simple Type Definition

4.1.1 The Simple Type Definition Schema Component

4.1.2 XML Representation of Simple Type Definition Schema Components

4.1.3 Constraints on XML Representation of Simple Type Definition

4.1.4 Simple Type Definition Validation Rules

4.1.5 Constraints on Simple Type Definition Schema Components

4.1.6 Simple Type Definition for anySimpleType

4.2 Fundamental Facets

4.2.1 equal

4.2.2 ordered

4.2.3 bounded

4.2.4 cardinality

4.2.5 numeric

4.3 Constraining Facets

4.3.1 length

4.3.2 minLength

4.3.3 maxLength

4.3.4 pattern

4.3.5 enumeration

4.3.6 whiteSpace

4.3.7 maxInclusive

4.3.8 maxExclusive

4.3.9 minExclusive

4.3.10 minInclusive

4.3.11 totalDigits

4.3.12 fractionDigits

Appendices

A Schema for Datatype Definitions (normative)

B DTD for Datatype Definitions (non-normative)

C Datatypes and Facets

C.1 Fundamental Facets

D ISO 8601 Date and Time Formats

D.1 ISO 8601 Conventions

D.2 Truncated and Reduced Formats

D.3 Deviations from ISO 8601 Formats

D.3.1 Sign Allowed

D.3.2 No Year Zero

D.3.3 More Than 9999 Years

E Adding durations to dateTimes

E.1 Algorithm

E.2 Commutativity and Associativity

F Regular Expressions

F.1 Character Classes

F.1.1 Character Class Escapes

G Glossary (non-normative)

H.1 Normative

H.2 Non-normative

I Acknowledgements (non-normative)

2.4 Facets

Facets

A facet is a single defining aspect of a value space. Generally speaking, each facet characterizes a value space along independent axes or dimensions.

The facets of a datatype serve to distinguish those aspects of one datatype which differ from other datatypes. Rather than being defined solely in terms of a prose description the datatypes in this specification are defined in terms of the synthesis of facet values which together determine the value space and properties of the datatype.

Facets are of two types: fundamental facets that define the datatype and non-fundamental or constraining facets that constrain the permitted values of a datatype.

Fundamental facets[top]

Fundamental facets

A fundamental facet is an abstract property which serves to semantically characterize the values in a value space.

All fundamental facets are fully described in [Fundamental Facets].

Constraining or Non-fundamental facets[top]

Constraining or Non-fundamental facets

A constraining facet is an optional property that can be applied to a datatype to constrain its value space.

Constraining the value space consequently constrains the lexical space. Adding constraining facets to a base type is described in [Derivation by restriction].

All constraining facets are fully described in [Constraining Facets].

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