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Developers that embed structured data in their Web pages can choose among a number of languages such as RDFa [RDFA-CORE], Microformats [MICROFORMATS] and Microdata [MICRODATA]. Each of these structured data languages, while incompatible at the syntax level, can be easily mapped to RDF. JSON has proven to be a highly useful object serialization and messaging format. In an attempt to harmonize the representation of Linked Data in JSON, this specification outlines a common JSON representation format for Linked Data that can be used to represent objects specified via RDFa, Microformats and Microdata.
This document is merely a public working draft of a potential specification. It has no official standing of any kind and does not represent the support or consensus of any standards organisation.
This document is an experimental work in progress.
JSON-LD is designed as a light-weight syntax that can be used to express Linked Data. It is primarily intended to be a way to express Linked Data in Javascript and other Web-based programming environments. It is also useful when building interoperable Web Services and when storing Linked Data in JSON-based document storage engines. It is practical and designed to be as simple as possible, utilizing the large number of JSON parsers and existing code that is in use today. It is designed to be able to express key-value pairs, RDF data, Microformats data, and Microdata. That is, it supports every major Web-based structured data model in use today. It does not require anyone to change their JSON, but easily add meaning by adding context in a way that is out-of-band. The syntax is designed to not disturb already deployed systems running on JSON, but provide a smooth migration path from JSON to JSON with added semantics. Finally, the format is intended to be fast to parse, fast to generate, stream-based and document-based processing compatible, and require a very small memory footprint in order to operate.
JSON, as specified in [RFC4627], is a simple language for representing objects on the web. Linked Data is a way of describing content across different documents, or web resources. Web resources are described using IRIs, and typically are dereferencable entities that may be used to find more information, creating a "web of knowledge". JSON-LD is intended to be a simple publishing method for expressing linked data in JSON.
This document is a detailed specification for a serialization of JSON for Linked data. The document is primarily intended for the following audiences:
To understand this specification you must first be familiar with JSON, which is detailed in [RFC4627] and RDF as described in [RDF-CONCEPTS].
There are a number of ways that one may participate in the development of this specification:
The following section outlines the design goals and rationale behind the JSON-LD markup language.
A number of design considerations were explored during the creation of this markup language:
An Internationalized Resource Identifier (IRI) as described in [RFC3987], is a mechanism for representing unique identifiers on the web. In Linked Data, IRIs (or URI references) are commonly used for describing entities and properties.
Establishing a mechanism to map JSON values to IRIs will help in the mapping of JSON objects to RDF. This does not mean that JSON-LD must be restrictive in declaring a set of terms, rather, experimentation and innovation should be supported as part of the core design of JSON-LD. There are, however, a number of very small design criteria that can ensure that developers will generate good RDF data that will create value for the greater semantic web community and JSON/REST-based Web Services community.
We will be using the following JSON object as the example for this section:
{ "a": "Person", "name": "Manu Sporny", "homepage": "http://manu.sporny.org/" "avatar": "http://twitter.com/account/profile_image/manusporny" }
A context is used to allow developers to use aliases for
IRIs. The semantic web, just like the document-based web, uses IRIs for
unambiguous identification. The idea is that these terms mean something,
which you will eventually want to query. A context allows the expression of a number of
terms which map directly to IRIs. For example, the term name
may map directly to the IRI http://xmlns.com/foaf/0.1/name
. This allows
JSON-LD documents to be constructed using common JSON syntax of using simple name/value
pairs.
To reduce the number of different terms that must be defined, JSON-LD also allows terms
to be used to expand Compact URIs (CURIE).
The semantic web specifies this via Vocabulary Documents, in which a prefix is
associated with a document, and a suffix is used to create an IRI based on this vocabulary.
For example, the IRI http://xmlns.com/foaf/0.1/
specifies a Vocabulary Document, and name is a term in
that vocabulary. Join the two items together and you have an unambiguous
identifier for a vocabulary term. The Compact URI Expression, or short-form,
is foaf:name
and the expanded-form is
http://xmlns.com/foaf/0.1/name
. This vocabulary term identifies
the given name for something, for example - a person's name.
Developers, and machines, would be able to use this IRI (plugging it directly into a web browser, for instance) to go to the term and get a definition of what the term means. Much like we can use WordNet today to see the definition of words in the English language. Machines need the same sort of dictionary of terms, and URIs provide a way to ensure that these terms are unambiguous.
The context provides a collection of vocabulary terms that can be used for a JSON object.
If a set of terms, like Person, name, and homepage, are defined in a context, and that context is used to resolve the names in JSON objects, machines could automatically expand the terms to something meaningful and unambiguous, like this:
{ "http://www.w3.org/1999/02/22-rdf-syntax-ns#type": "http://xmlns.com/foaf/0.1/Person", "http://xmlns.com/foaf/0.1/name": "Manu Sporny", "http://xmlns.com/foaf/0.1/homepage": "http://manu.sporny.org" "http://rdfs.org/sioc/ns#avatar": "http://twitter.com/account/profile_image/manusporny" }
Doing this would mean that JSON would start to become unambiguously machine-readable, play well with the semantic web, and basic markup wouldn't be that much more complex than basic JSON markup. A win, all around.
Developers would also benefit by allowing other vocabularies to be used automatically with their JSON API. There are over 200 Vocabulary Documents that are available for use on the Web today. Some of these vocabularies are:
Since these vocabularies are very popular, they are pre-defined in something called the default context, which is a set of vocabulary prefixes that are pre-loaded in all JSON-LD processors. The contents of the default context are provided later in this document. Using the default context allows developers to express data unambiguously, like so:
{ "rdf:type": "foaf:Person", "foaf:name": "Manu Sporny", "foaf:homepage": "http://manu.sporny.org/", "sioc:avatar": "http://twitter.com/account/profile_image/manusporny" }
Developers can also specify their own Vocabulary documents by modifying the
active context in-line using the @context
keyword, like so:
{ "@context": { "myvocab": "http://example.org/myvocab#" }, "a": "foaf:Person", "foaf:name": "Manu Sporny", "foaf:homepage": "http://manu.sporny.org/", "sioc:avatar": "http://twitter.com/account/profile_image/manusporny", "myvocab:personality": "friendly" }
The @context
keyword is used to change how the JSON-LD
processor evaluates key-value pairs. In this case, it was used to
map one string ('myvocab') to another string, which is interpreted as
a IRI. In the example above, the myvocab
string is replaced
with "http://example.org/myvocab#
" when it
is detected. In the example above, "myvocab:personality
" would
expand to "http://example.org/myvocab#personality
".
This mechanism is a short-hand for RDF, called a CURIE, and provides developers an unambiguous way to map any JSON value to RDF.
JSON-LD strives to ensure that developers don't have to change the JSON that is going into and being returned from their Web applications. A JSON-LD aware Web Service may define a known context. For example, the following default context could apply to all incoming Web Service calls previously accepting only JSON data:
{ "@context": { "@vocab": "http://example.org/default-vocab#", "@base": "http://example.org/baseurl/", "xsd": "http://www.w3.org/2001/XMLSchema#", "dc": "http://purl.org/dc/terms/", "foaf": "http://xmlns.com/foaf/0.1/", "sioc": "http://rdfs.org/sioc/ns#", "cc": "http://creativecommons.org/ns#", "geo": "http://www.w3.org/2003/01/geo/wgs84_pos#", "vcard": "http://www.w3.org/2006/vcard/ns#", "cal": "http://www.w3.org/2002/12/cal/ical#", "doap": "http://usefulinc.com/ns/doap#", "Person": "http://xmlns.com/foaf/0.1/Person", "name": "http://xmlns.com/foaf/0.1/name", "homepage": "http://xmlns.com/foaf/0.1/homepage" "@coerce": { "xsd:anyURI": ["rdf:type", "rdf:rest", "foaf:homepage", "foaf:member"], "xsd:integer": "foaf:age" } } }
The @vocab
string is a special keyword that states
that any term that doesn't resolve to a term or a prefix should be
appended to the @vocab
IRI. This is done to ensure that
terms can be transformed to an IRI at all times.
The @base
string is a special keyword that states
that any relative IRI must be appended to the string specified by
@base
.
The @coerce
keyword is used to specify type coercion
rules for the data. For each key in the map, the key is the type to
be coerced to and the value is the vocabulary term to be coerced.
Type coercion for the key xsd:anyURI
asserts that all
vocabulary terms listed should undergo coercion to an IRI, including
@base
processing for relative IRIs and CURIE processing
for compact URI Expressions such as foaf:homepage
.
The JSON-LD markup examples below demonstrate how JSON-LD can be used to express semantic data marked up in other languages such as RDFa, Microformats, and Microdata. These sections are merely provided as proof that JSON-LD is very flexible in what it can express across different Linked Data approaches.
The following example describes three people with their respective names and homepages.
<div prefix="foaf: http://xmlns.com/foaf/0.1/"> <ul> <li typeof="foaf:Person"> <a rel="foaf:homepage" href="http://example.com/bob/" property="foaf:name" >Bob</a> </li> <li typeof="foaf:Person"> <a rel="foaf:homepage" href="http://example.com/eve/" property="foaf:name" >Eve</a> </li> <li typeof="foaf:Person"> <a rel="foaf:homepage" href="http://example.com/manu/" property="foaf:name" >Manu</a> </li> </ul> </div>
An example JSON-LD implementation is described below, however, there are other ways to mark-up this information such that the context is not repeated.
[ { "@": "_:bnode1", "a": "foaf:Person", "foaf:homepage": "http://example.com/bob/", "foaf:name": "Bob" }, { "@": "_:bnode2", "a": "foaf:Person", "foaf:homepage": "http://example.com/eve/", "foaf:name": "Eve" }, { "@": "_:bnode3", "a": "foaf:Person", "foaf:homepage": "http://example.com/manu/", "foaf:name": "Manu" } ]
The following example uses a simple Microformats hCard example to express how the Microformat is represented in JSON-LD.
<div class="vcard"> <a class="url fn" href="http://tantek.com/">Tantek Çelik</a> </div>
The representation of the hCard expresses the Microformat terms in the
context and uses them directly for the url
and fn
properties. Also note that the Microformat to JSON-LD processor has
generated the proper URL type for http://tantek.com
.
{ "@context": { "vcard": "http://microformats.org/profile/hcard#vcard", "url": "http://microformats.org/profile/hcard#url", "fn": "http://microformats.org/profile/hcard#fn", "@coerce": { "xsd:anyURI": "url" } }, "@": "_:bnode1", "a": "vcard", "url": "http://tantek.com/", "fn": "Tantek Çelik" }
The Microdata example below expresses book information as a Microdata Work item.
<dl itemscope itemtype="http://purl.org/vocab/frbr/core#Work" itemid="http://purl.oreilly.com/works/45U8QJGZSQKDH8N"> <dt>Title</dt> <dd><cite itemprop="http://purl.org/dc/terms/title">Just a Geek</cite></dd> <dt>By</dt> <dd><span itemprop="http://purl.org/dc/terms/creator">Wil Wheaton</span></dd> <dt>Format</dt> <dd itemprop="http://purl.org/vocab/frbr/core#realization" itemscope itemtype="http://purl.org/vocab/frbr/core#Expression" itemid="http://purl.oreilly.com/products/9780596007683.BOOK"> <link itemprop="http://purl.org/dc/terms/type" href="http://purl.oreilly.com/product-types/BOOK"> Print </dd> <dd itemprop="http://purl.org/vocab/frbr/core#realization" itemscope itemtype="http://purl.org/vocab/frbr/core#Expression" itemid="http://purl.oreilly.com/products/9780596802189.EBOOK"> <link itemprop="http://purl.org/dc/terms/type" href="http://purl.oreilly.com/product-types/EBOOK"> Ebook </dd> </dl>
Note that the JSON-LD representation of the Microdata information stays true to the desires of the Microdata community to avoid contexts and instead refer to items by their full IRI.
[ { "@": "http://purl.oreilly.com/works/45U8QJGZSQKDH8N", "a": "http://purl.org/vocab/frbr/core#Work", "http://purl.org/dc/terms/title": "Just a Geek", "http://purl.org/dc/terms/creator": "Whil Wheaton", "http://purl.org/vocab/frbr/core#realization": ["http://purl.oreilly.com/products/9780596007683.BOOK", "http://purl.oreilly.com/products/9780596802189.EBOOK"] }, { "@": "http://purl.oreilly.com/products/9780596007683.BOOK", "a": "http://purl.org/vocab/frbr/core#Expression", "http://purl.org/dc/terms/type": "http://purl.oreilly.com/product-types/BOOK" }, { "@": "http://purl.oreilly.com/products/9780596802189.EBOOK", "a": "http://purl.org/vocab/frbr/core#Expression", "http://purl.org/dc/terms/type": "http://purl.oreilly.com/product-types/EBOOK" } ]
JSON-LD is designed to ensure that most Linked Data concepts can be marked up in a way that is simple to understand and author by Web developers. In many cases, Javascript objects can become Linked Data with the simple addition of a context. Since RDF is also an important sub-community of the Linked Data movement, it is important that all RDF concepts are well-represented in this specification. This section details how each RDF concept can be expressed in JSON-LD.
Expressing IRIs are fundamental to Linked Data as that is how most subjects and many objects are identified. IRIs can be expressed in a variety of different ways in JSON-LD.
@context
and when dealing with keys that start with the
@
character.@
, if
it is a string.a
.@iri
keyword.@coerce
rules in
effect for xsd:anyURI
for a particular vocabulary term.An example of IRI generation for a key outside of a @context
:
{
...
"http://xmlns.com/foaf/0.1/name": "Manu Sporny",
...
}
In the example above, the key
http://xmlns.com/foaf/0.1/name
is interpreted as an IRI, as
opposed to being interpreted as a string..
Term expansion occurs for IRIs if a term is defined within the active context:
{ "@context": {"name": "http://xmlns.com/foaf/0.1/name"}, ... "name": "Manu Sporny", ... }
CURIE expansion also occurs for keys in JSON-LD:
{
...
"foaf:name": "Manu Sporny",
...
}
foaf:name
above will automatically expand out to the IRI
http://xmlns.com/foaf/0.1/name
.
An IRI is generated when a value is associated with a key using
the @iri
keyword:
{
...
"foaf:homepage": { "@iri": "http://manu.sporny.org" }
...
}
If type coercion rules are specified in the @context
for
a particular vocabulary term, an IRI is generated:
{
"@context":
{
"@coerce":
{
"xsd:anyURI": "foaf:homepage"
}
}
...
"foaf:homepage": "http://manu.sporny.org",
...
}
A subject is declared using the @
key. The subject is the
first piece of information needed by the JSON-LD processor in order to
create the (subject, property, object) tuple, also known as a triple.
{ ... "@": "http://example.org/people#joebob", ... }
The example above would set the subject to the IRI
http://example.org/people#joebob
.
The type of a particular subject can be specified using the a
key. Specifying the type in this way will generate a triple of the form
(subject, type, type-url).
{ ... "@": "http://example.org/people#joebob", "a": "http://xmlns.com/foaf/0.1/Person", ... }
The example above would generate the following triple (in N-Triples notation):
<http://example.org/people#joebob> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
Regular text strings are called a plain literal in RDF and are easily expressed using regular JSON strings.
{
...
"foaf:name": "Mark Birbeck",
...
}
JSON-LD makes an assumption that plain literals with associated language encoding information is not very common when used in JavaScript and Web Services. Thus, it takes a little more effort to express plain literals in a specified language.
{
...
"foaf:name":
{
"@literal": "花澄",
"@language": "ja"
}
...
}
The example above would generate a plain literal for 花澄 and
associate the ja
language tag with the triple that is
generated. Languages must be expressed in [BCP47] format.
A typed literal is indicated by attaching a IRI to the end of a plain literal, and this IRI indicates the literal's datatype. Literals may be typed in JSON-LD in three ways:
@coerce
keyword.The first example uses the @coerce
keyword to express a
typed literal:
{
"@context":
{
"@coerce":
{
"xsd:dateTime": "dc:modified"
}
}
...
"dc:modified": "2010-05-29T14:17:39+02:00",
...
}
The second example uses the expanded form for specifying objects:
{
...
"dc:modified":
{
"@literal": "2010-05-29T14:17:39+02:00",
"@datatype": "xsd:dateTime"
}
...
}
Both examples above would generate an object with the literal value of
2010-05-29T14:17:39+02:00
and the datatype of
http://www.w3.org/2001/XMLSchema#dateTime
.
A JSON-LD author can express multiple triples in a compact way by using arrays. If a subject has multiple values for the same property, the author may express each property as an array.
{
...
"@": "http://example.org/people#joebob",
"foaf:nick": ["joe", "bob", "jaybee"],
...
}
The markup shown above would generate the following triples:
<http://example.org/people#joebob> <http://xmlns.com/foaf/0.1/nick> "joe" . <http://example.org/people#joebob> <http://xmlns.com/foaf/0.1/nick> "bob" . <http://example.org/people#joebob> <http://xmlns.com/foaf/0.1/nick> "jaybee" .
Multiple typed literals may also be expressed using the expanded form for objects:
{
...
"@": "http://example.org/articles/8",
"dcterms:modified":
[
{
"@literal": "2010-05-29T14:17:39+02:00",
"@datatype": "xsd:dateTime"
},
{
"@literal": "2010-05-30T09:21:28-04:00",
"@datatype": "xsd:dateTime"
}
]
...
}
The markup shown above would generate the following triples:
<http://example.org/articles/8> <http://purl.org/dc/terms/modified> "2010-05-29T14:17:39+02:00"^^http://www.w3.org/2001/XMLSchema#dateTime . <http://example.org/articles/8> <http://purl.org/dc/terms/modified> "2010-05-30T09:21:28-04:00"^^http://www.w3.org/2001/XMLSchema#dateTime .
At times, it becomes necessary to be able to express information without
being able to specify the subject. Typically, this is where blank nodes come
into play. In JSON-LD, blank node identifiers are automatically created if a
subject is not specified using the @
keyword. However, authors
may name blank nodes by using the special _
CURIE prefix.
{
...
"@": "_:foo",
...
}
The example above would set the subject to _:foo
, which can
then be used later on in the JSON-LD markup to refer back to the
named blank node.
JSON-LD has a number of features that provide functionality above and beyond the core functionality provided by RDF. The following sections outline the features that are specific to JSON-LD.
Since JSON is capable of expressing typed information such as doubles, integers, and boolean values. As demonstrated below, JSON-LD utilizes that information to create typed literals:
{ ... // The following two values are automatically converted to a type of xsd:double // and both values are equivalent to each other. "measure:cups": 5.3, "measure:cups": 5.3e0, // The following value is automatically converted to a type of xsd:double as well "space:astronomicUnits": 6.5e73, // The following value should never be converted to a language-native type "measure:stones": { "@literal": "4.8", "@datatype": "xsd:decimal" }, // This value is automatically converted to having a type of xsd:integer "chem:protons": 12, // This value is automatically converted to having a type of xsd:boolean "sensor:active": true, ... }
When dealing with a number of modern programming languages,
including JavaScript ECMA-262, there is no distinction between
xsd:decimal and xsd:double values. That is,
the number 5.3
and the number
5.3e0
are treated as if they were the same. When converting from
JSON-LD to a language-native format and back, datatype information is lost in a
number of these languages. Thus, one could say that 5.3
is a
xsd:decimal and 5.3e0
is an
xsd:double in JSON-LD, but when both values are
converted to a language-native format the datatype difference between the two
is lost because the machine-level representation will almost always be a
double.
Implementers should be aware of this potential round-tripping issue between
xsd:decimal and xsd:double. Specifically
objects with a datatype of xsd:decimal must not be converted
to a language native type.
JSON-LD supports the coercion of types to ensure that the zero-edit goal of JSON-LD can be accomplished. Type coercion allows someone deploying JSON-LD to coerce and incoming or outgoing types to the proper RDF type based on a mapping of type IRIs to RDF types. Using type conversion, one may convert simple JSON data to properly typed RDF data.
The example below demonstrates how a JSON-LD author can coerce values to plain literals, typed literals and IRIs.
{ "@context": { "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#", "xsd": "http://www.w3.org/2001/XMLSchema#", "name": "http://xmlns.com/foaf/0.1/name", "age": "http://xmlns.com/foaf/0.1/age", "homepage": "http://xmlns.com/foaf/0.1/homepage", "@coerce": { "xsd:integer": "age", "xsd:anyURI": "homepage", } }, "name": "John Smith", "age": "41", "homepage": "http://example.org/home/" }
The example above would generate the following triples:
_:bnode1 <http://xmlns.com/foaf/0.1/name> "John Smith" . _:bnode1 <http://xmlns.com/foaf/0.1/age> "41"^^http://www.w3.org/2001/XMLSchema#integer . _:bnode1 <http://xmlns.com/foaf/0.1/homepage> <http://example.org/home/> .
The JSON-LD Processing Model describes processing rules for extracting RDF from a JSON-LD document. Note that many uses of JSON-LD may not require generation of RDF.
The processing algorithm described in this section is provided in order to demonstrate how one might implement a JSON-LD processor. Conformant implementations are only required to produce the same type and number of triples during the output process and are not required to implement the algorithm exactly as described.
The Processing Algorithm is a work in progress.
This section is non-normative.
JSON-LD is intended to have an easy to parse grammar that closely models existing practice in using JSON for describing object representations. This allows the use of existing libraries for parsing JSON in a document-oriented fashion, or can allow for stream-based parsing similar to SAX.
As with other grammars used for describing linked data, a key concept is that of a resource. Resources may be of three basic types: IRIs, for describing externally named entities, BNodes, resources for which an external name does not exist, or is not known, and Literals, which describe terminal entities such as strings, dates and other representations having a lexical representation possibly including an explicit language or datatype.
Data described with JSON-LD may be considered to be the representation of a graph made up of subject and object resources related via a predicate resource. However, specific implementations may choose to operate on the document as a normal JSON description of objects having attributes.
@context
keyword.
@context
@base
@profile
@vocab
@coerce
@literal
@iri
@language
@datatype
:
@
a
Use @source
instead of @
?
Use @type
instead of a
? Note that both are just semantic sugar for rdf:type
.
Processing of JSON-LD is managed recursively using a process described in Sequence. During processing, each rule is applied using information provided by the active context. Processing begins by pushing a new processor state onto the processor state stack and initializing the active context with the default context. If a local context is encountered, information from the local context is merged into the active context.
Should the document URL be used as the default for @base
in the default context?
The active context is used for expanding keys and values of an associative array (or elements of a list (see List Processing)).
A local context is identified within an associative array having a key of @context
with an associative
array value. When processing a local context, special rules apply:
@base
must have a value of a simple string with the lexical
form of IRI and is saved in the active context to perform term mapping as described in IRI Processing.@vocab
must have a value of a simple string with the lexical
form of IRI and is saved in the active context to perform term mapping as described in IRI Processing.@coerce
must have a value of an associative array. Processing
of the associative array is described belowA local context may also be loaded from an external document using the @profile
key as described in Vocabulary Profiles.
Map each key-value pair in the local context's
@coerce
mapping into the active context's
@coerce
mapping, overwriting any duplicate values in
the active context's @coerce
mapping.
The @coerce
mapping has a either of a single CURIE or of an
array of CURIEs. When merging with an existing mapping in the active context,
map all CURIE values to array form and replace with the union of the value from
the local context and the value of the active context. If the result is an array
with a single CURIE, the processor may represent this as a string value.
Object chaining is a JSON-LD feature that allows an author to use the definition of JSON-LD objects as property values. This is a commonly used mechanism for creating a parent-child relationship between objects.
The example shows an two objects related by a property from the first object:
{ ... "foaf:name": "Manu Sporny", "foaf:knows": { "a": "foaf:Person", "foaf:name": "Gregg Kellogg", } ... }
An object definition may be used anyplace a value is legal in JSON-LD.
Keys and some values are evaluated to produce an IRI. This section defines an algorithm for transforming a value representing an IRI into an actual IRI.
IRIs may be represented as an explicit string, or as a CURIE, as a value relative to @base
or @vocab
.
CURIEs are defined more formally in [RDFA-CORE] section 6 "CURIE Syntax Definition". Generally, a CURIE is composed of a prefix and a suffix separated by a ':'. In JSON-LD, either the prefix may be the empty string, denoting the default prefix.
The procedure for generating an IRI is:
@coerce
mapping) and the active context has a @vocab
mapping,
join the mapped value to the suffix using the method described in [RFC3987].@base
mapping,
join the mapped value to the suffix using the method described in [RFC3987].The algorithm below is designed for in-memory implementations with random access to associative array elements. For a description of a streaming implementation, see Appendix B.
A conforming JSON-LD processor must implement a processing algorithm that results in the same default graph that the following algorithm generates:
@context
key, process the local context as
described in Context.
@iri
key, set the active object by
performing IRI Processing on the associated value. Generate a
triple representing the active subject, the active property and the
active object. Return the active object to the calling location.
@literal
key, set the active object
to a literal value as follows:
@datatype
key
after performing IRI Processing on the specified@datatype
.
@language
key, use it's value to set the language of the plain literal.
@
key:
@
key, set the active
object to newly generated blank node identifier. Generate a triple
representing the active subject, the active property and the
active object. Set the active subject to the active
object.
a
, set the active property
to rdf:type
.
rdf:first
and rdf:next
, terminating the list with rdf:nil
using the following sequence:
rdf:nil
.
rdf:first
as the active property.rdf:nil
.rdf:rest
and rest bnode.xsd:integer
or
xsd:double
, depending on if the value contains a
fractional and/or an exponential component. Generate a triple using the active
subject, active object and the generated typed literal.
xsd:boolean
.
The nature of Web programming allows one to use basic technologies, such as JSON-LD, across a variety of systems and environments. This section attempts to describe some of those environments and the way in which JSON-LD can be integrated in order to help alleviate certain development headaches.
It is expected that JSON-LD will be used quite a bit in JavaScript environments, however, features like the expanded form for object values mean that using JSON-LD directly in JavaScript may be annoying without a middleware layer such as a simple library that converts JSON-LD markup before JavaScript uses it. One could say that JSON-LD is a good fit for the RDF API, which enables a variety of RDF-based Web Applications, but some don't want to require that level of functionality just to use JSON-LD. The group is still discussing the best way to proceed, so input on how JSON-LD could more easily be utilized in JavaScript environments would be very much appreciated.
Databases such as CouchDB and MongoDB allow the creation of schema-less data stores. RDF is a type of schema-less data model and thus lends itself to databases such as CouchDB and MongoDB. Both of these databases can use JSON-LD as their storage format. The group needs feedback from CouchDB and MongoDB experts regarding the usefulness of JSON-LD in those environments.
MongoDB does not allow the '.' character to be used in key names. This prevents developers from storing IRIs as keys, which also prevents storage of the data in normalized form. While this issue can be avoided by using CURIEs for key values, it is not known if this mechanism is enough to allow JSON-LD to be used in MongoDB in a way that is useful to developers.
There are a few advanced concepts where it is not clear whether or not the JSON-LD specification is going to support the complexity necessary to support each concept. The entire section on Advanced Concepts should be considered as discussion points; it is merely a list of possibilities where all of the benefits and drawbacks have not been explored.
One of the more powerful features of RDFa 1.1 Core is the ability to specify a collection of prefixes and terms that can be re-used by a processor to simplfy markup. JSON-LD provides a similar mechanism called Vocabulary Profiles, which is the inclusion of a context external to the JSON-LD document.
The example below demonstrates how one may specify an external Vocabulary
Profile. Assume the following profile exists at this imaginary URL:
http://example.org/profiles/contacts
.
{ "@context": { "xsd": "http://www.w3.org/2001/XMLSchema#", "name": "http://xmlns.com/foaf/0.1/name", "age": "http://xmlns.com/foaf/0.1/age", "homepage": "http://xmlns.com/foaf/0.1/homepage", "#types": { "age": "xsd:integer", "homepage": "xsd:anyURI", } } }
The profile listed above can be used in the following way:
{ "@profile": "http://example.org/profiles/contacts", "name": "John Smith", "age": "41", "homepage": "http://example.org/home/" }
The example above would generate the following triples:
_:bnode1 <http://xmlns.com/foaf/0.1/name> "John Smith" . _:bnode1 <http://xmlns.com/foaf/0.1/age> "41"^^http://www.w3.org/2001/XMLSchema#integer . _:bnode1 <http://xmlns.com/foaf/0.1/homepage> <http://example.org/home/> .
When serializing an RDF graph that contains two or more sections of the graph which are entirely disjoint, one must use an array to express the graph as two graphs. This may not be acceptable to some authors, who would rather express the information as one graph. Since, by definition, disjoint graphs require there to be two top-level objects, JSON-LD utilizes a mechanism that allows disjoint graphs to be expressed using a single graph.
Assume the following RDF graph:
<http://example.org/people#john> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> . <http://example.org/people#jane> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://xmlns.com/foaf/0.1/Person> .
Since the two subjects are entirely disjoint with one another, it is impossible to express the RDF graph above using a single JSON-LD associative array.
In JSON-LD, one can use the subject to express disjoint graphs as a single graph:
{ "@": [ { "@": "http://example.org/people#john", "a": "foaf:Person" }, { "@": "http://example.org/people#jane", "a": "foaf:Person" } ] }
A disjoint graph could also be expressed like so:
[ { "@": "http://example.org/people#john", "a": "foaf:Person" }, { "@": "http://example.org/people#jane", "a": "foaf:Person" } ]
This API provides a clean mechanism that enables developers to convert JSON-LD data into a format that is easier to work with in various programming languages.
[NoInterfaceObject]
interface JSONLDProcessor {
object toProjection (in DOMString jsonld, in object? template, in DOMString? subject, in optional JSONLDParserCallback? callback);
Graph toGraph (in DOMString jsonld, in optional JSONLDParserCallback? callback);
};
toGraph
null
if there are any errors, or if the RDF Interfaces
API is not available for use.
Parameter | Type | Nullable | Optional | Description |
---|---|---|---|---|
jsonld | DOMString | ✘ | ✘ | The JSON-LD string to parse into the RDFGraph. |
callback | JSONLDParserCallback | ✔ | ✔ | A callback that is called whenever a processing error occurs on the given JSON-LD string. |
Graph
toProjection
null
is returned.
Parameter | Type | Nullable | Optional | Description |
---|---|---|---|---|
jsonld | DOMString | ✘ | ✘ | The JSON-LD string to parse into the Projection. |
template | object | ✔ | ✘ | The Projection template to use when building the Projection. |
subject | DOMString | ✔ | ✘ | The subject to use when building the Projection. |
callback | JSONLDParserCallback | ✔ | ✔ | A callback that is called whenever a processing error occurs on the given JSON-LD string. |
object
The JSONLDParserCallback is called whenever a processing error occurs on input data.
[NoInterfaceObject Callback]
interface JSONLDProcessorCallback {
void error (in DOMString error);
};
The following example demonstrates how to convert JSON-LD to a projection that is directly usable in a programming environment:
// retrieve JSON-LD from a Web Service var jsonldString = fetchPerson(); // This map, usually defined once per script, defines how to map incoming // JSON-LD to JavaScript objects var myTemplate = { "http://xmlns.com/foaf/0.1/name" : "name", "http://xmlns.com/foaf/0.1/age" : "age", "http://xmlns.com/foaf/0.1/homepage" : "homepage" }; // Map the JSON-LD to a language-native object var person = jsonld.toProjection(jsonldString, myTemplate); // Use the language-native object alert(person.name + " is " + person.age + " years old. " + "Their homepage is: " + person.homepage);
A JSON-LD Serializer is also available to map a language-native object to JSON-LD.
[NoInterfaceObject]
interface JSONLDSerializer {
DOMString normalize (in object obj);
};
normalize
Parameter | Type | Nullable | Optional | Description |
---|---|---|---|---|
obj | object | ✘ | ✘ | An associative array of key-value pairs that should be converted to a JSON-LD string. It is assumed that a map already exists for the data. |
DOMString
This algorithm is very rough, untested, and probably contains many bugs. Use at your own risk. It will change in the coming months.
The JSON-LD normalization algorithm is as follows:
@context
key and preserve it as the
transformation map while running this algorithm.Note that normalizing named blank nodes is impossible at present since one would have to specify a blank node naming algorithm. For the time being, you cannot normalize graphs that contain named blank nodes. However, normalizing graphs that contain non-named blank nodes is supported.
var myObj = { "@context" : { "xsd" : "http://www.w3.org/2001/XMLSchema#", "name" : "http://xmlns.com/foaf/0.1/name", "age" : "http://xmlns.com/foaf/0.1/age", "homepage" : "http://xmlns.com/foaf/0.1/homepage", "@coerce": { "xsd:nonNegativeInteger": "age", "xsd:anyURI": "homepage" } }, "name" : "Joe Jackson", "age" : "42", "homepage" : "http://example.org/people/joe" }; // Map the language-native object to JSON-LD var jsonldText = jsonld.normalize(myObj);
After the code in the example above has executed, the jsonldText value will be (line-breaks added for readability):
[{"http://xmlns.com/foaf/0.1/age":{"@datatype":"http://www.w3.org/2001/XMLSchema#nonNegativeInteger","@literal":"42"}, "http://xmlns.com/foaf/0.1/homepage":{"@iri":"http://example.org/people/joe"}, "http://xmlns.com/foaf/0.1/name":"Joe Jackson"}]
When normalizing xsd:double values, implementers must
ensure that the normalized value is a string. In order to generate the
string from a double value, output equivalent to the
printf("%1.6e", value)
function in C must be used where
"%1.6e" is the string formatter and value
is the value to be converted.
To convert the a double value in JavaScript, implementers can use the following snippet of code:
// the variable 'value' below is the JavaScript native double value that is to be converted (value).toExponential(6).replace(/(e(?:\+|-))([0-9])$/, '$10$2')
When data needs to be normalized, JSON-LD authors should not use values that are going to undergo automatic conversion. This is due to the lossy nature of xsd:double values.
Round-tripping data can be problematic if we mix and match @coerce rules with JSON-native datatypes, like integers. Consider the following code example:
var myObj = { "@context" : { "number" : "http://example.com/vocab#number", "@coerce": { "xsd:nonNegativeInteger": "number" } }, "number" : 42 }; // Map the language-native object to JSON-LD var jsonldText = jsonld.normalize(myObj); // Convert the normalized object back to a JavaScript object var myObj2 = jsonld.parse(jsonldText);
At this point, myObj2 and myObj will have different values for the "number" value. myObj will be the number 42, while myObj2 will be the string "42". This type of data round-tripping error can bite developers. We are currently wondering if having a "coerce validation" phase in the parsing/normalization phases would be a good idea. It would prevent data round-tripping issues like the one mentioned above.
The default context is provided to ensure that there are a reasonable set of prefixes and terms available to all JSON-LD developers. Mappings specified by the default context should not be overwritten by JSON-LD authors. All JSON-LD processors must load the following context in as the intial context before processing JSON-LD text.
{ "@context": { "@vocab": "", "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#", "rdfs": "http://www.w3.org/2000/01/rdf-schema#", "owl": "http://www.w3.org/2002/07/owl#", "xsd": "http://www.w3.org/2001/XMLSchema#", "dcterms": "http://purl.org/dc/terms/", "foaf": "http://xmlns.com/foaf/0.1/", "cal": "http://www.w3.org/2002/12/cal/ical#", "vcard": "http://www.w3.org/2006/vcard/ns# ", "geo": "http://www.w3.org/2003/01/geo/wgs84_pos#", "cc": "http://creativecommons.org/ns#", "sioc": "http://rdfs.org/sioc/ns#", "doap": "http://usefulinc.com/ns/doap#", "com": "http://purl.org/commerce#", "ps": "http://purl.org/payswarm#", "gr": "http://purl.org/goodrelations/v1#", "sig": "http://purl.org/signature#", "ccard": "http://purl.org/commerce/creditcard#" "@coerce": { "xsd:anyURI": ["rdf:type", "rdf:rest", "foaf:homepage", "foaf:member"], "xsd:integer": "foaf:age" } } }
The editor would like to thank Mark Birbeck, who provided a great deal of the rationale and reasoning behind the JSON-LD work via his work on RDFj, Dave Longley who reviewed, provided feedback, and performed several implementation on the specification, and Ian Davis, who created RDF/JSON. Thanks also to Nathan Rixham, Bradley P. Allen and Richard Cyganiak for their input on the specification.