Table of contents

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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)

2.2 Value space

Value space

A value space is the set of values for a given datatype. Each value in the value space of a datatype is denoted by one or more literals in its lexical space.

The value space of a given datatype can be defined in one of the following ways:

defined axiomatically from fundamental notions (intensional definition) [see primitive]
enumerated outright (extensional definition) [see enumeration]
defined by restricting the value space of an already defined datatype to a particular subset with a given set of properties [see derived]
defined as a combination of values from one or more already defined value space(s) by a specific construction procedure [see list and union]

value spaces have certain properties. For example, they always have the property of cardinality, some definition of equality and might be ordered, by which individual values within the value space can be compared to one another. The properties of value spaces that are recognized by this specification are defined in [Fundamental facets].

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