schema-salad


Nameschema-salad JSON
Version 2.5.20170428142041 PyPI version JSON
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home_pagehttps://github.com/common-workflow-language/common-workflow-language
SummarySchema Annotations for Linked Avro Data (SALAD)
upload_time2017-04-28 14:33:55
maintainer
docs_urlNone
authorCommon workflow language working group
requires_python
licenseApache 2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
Coveralis test coverage No Coveralis.
            Schema Salad
------------

Salad is a schema language for describing JSON or YAML structured linked data
documents.  Salad is based originally on JSON-LD_ and the Apache Avro_ data
serialization system.

Salad schema describes rules for preprocessing, structural validation, and link
checking for documents described by a Salad schema. Salad features for rich
data modeling such as inheritance, template specialization, object identifiers,
object references, documentation generation, and transformation to RDF_. Salad
provides a bridge between document and record oriented data modeling and the
Semantic Web.

Usage
-----

::

   $ pip install schema_salad
   $ schema-salad-tool
   usage: schema-salad-tool [-h] [--rdf-serializer RDF_SERIALIZER]
                         [--print-jsonld-context | --print-doc | --print-rdfs | --print-avro | --print-rdf | --print-pre | --print-index | --print-metadata | --version]
                         [--strict | --non-strict]
                         [--verbose | --quiet | --debug]
                         schema [document]
   $ python
   >>> import schema_salad

To install from source::

  git clone https://github.com/common-workflow-language/schema_salad 
  cd schema_salad 
  python setup.py install
 

Documentation
-------------

See the specification_ and the metaschema_ (salad schema for itself).  For an
example application of Schema Salad see the Common Workflow Language_.

Rationale
---------

The JSON data model is an popular way to represent structured data.  It is
attractive because of it's relative simplicity and is a natural fit with the
standard types of many programming languages.  However, this simplicity comes
at the cost that basic JSON lacks expressive features useful for working with
complex data structures and document formats, such as schemas, object
references, and namespaces.

JSON-LD is a W3C standard providing a way to describe how to interpret a JSON
document as Linked Data by means of a "context".  JSON-LD provides a powerful
solution for representing object references and namespaces in JSON based on
standard web URIs, but is not itself a schema language.  Without a schema
providing a well defined structure, it is difficult to process an arbitrary
JSON-LD document as idiomatic JSON because there are many ways to express the
same data that are logically equivalent but structurally distinct.

Several schema languages exist for describing and validating JSON data, such as
JSON Schema and Apache Avro data serialization system, however none
understand linked data.  As a result, to fully take advantage of JSON-LD to
build the next generation of linked data applications, one must maintain
separate JSON schema, JSON-LD context, RDF schema, and human documentation,
despite significant overlap of content and obvious need for these documents to
stay synchronized.

Schema Salad is designed to address this gap.  It provides a schema language
and processing rules for describing structured JSON content permitting URI
resolution and strict document validation.  The schema language supports linked
data through annotations that describe the linked data interpretation of the
content, enables generation of JSON-LD context and RDF schema, and production
of RDF triples by applying the JSON-LD context.  The schema language also
provides for robust support of inline documentation.

.. _JSON-LD: http://json-ld.org
.. _Avro: http://avro.apache.org
.. _metaschema: https://github.com/common-workflow-language/schema_salad/blob/master/schema_salad/metaschema/metaschema.yml
.. _specification: http://www.commonwl.org/v1.0/SchemaSalad.html
.. _Language: https://github.com/common-workflow-language/common-workflow-language/blob/master/v1.0/CommandLineTool.yml
.. _RDF: https://www.w3.org/RDF/
            

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    "description": "Schema Salad\n------------\n\nSalad is a schema language for describing JSON or YAML structured linked data\ndocuments.  Salad is based originally on JSON-LD_ and the Apache Avro_ data\nserialization system.\n\nSalad schema describes rules for preprocessing, structural validation, and link\nchecking for documents described by a Salad schema. Salad features for rich\ndata modeling such as inheritance, template specialization, object identifiers,\nobject references, documentation generation, and transformation to RDF_. Salad\nprovides a bridge between document and record oriented data modeling and the\nSemantic Web.\n\nUsage\n-----\n\n::\n\n   $ pip install schema_salad\n   $ schema-salad-tool\n   usage: schema-salad-tool [-h] [--rdf-serializer RDF_SERIALIZER]\n                         [--print-jsonld-context | --print-doc | --print-rdfs | --print-avro | --print-rdf | --print-pre | --print-index | --print-metadata | --version]\n                         [--strict | --non-strict]\n                         [--verbose | --quiet | --debug]\n                         schema [document]\n   $ python\n   >>> import schema_salad\n\nTo install from source::\n\n  git clone https://github.com/common-workflow-language/schema_salad \n  cd schema_salad \n  python setup.py install\n \n\nDocumentation\n-------------\n\nSee the specification_ and the metaschema_ (salad schema for itself).  For an\nexample application of Schema Salad see the Common Workflow Language_.\n\nRationale\n---------\n\nThe JSON data model is an popular way to represent structured data.  It is\nattractive because of it's relative simplicity and is a natural fit with the\nstandard types of many programming languages.  However, this simplicity comes\nat the cost that basic JSON lacks expressive features useful for working with\ncomplex data structures and document formats, such as schemas, object\nreferences, and namespaces.\n\nJSON-LD is a W3C standard providing a way to describe how to interpret a JSON\ndocument as Linked Data by means of a \"context\".  JSON-LD provides a powerful\nsolution for representing object references and namespaces in JSON based on\nstandard web URIs, but is not itself a schema language.  Without a schema\nproviding a well defined structure, it is difficult to process an arbitrary\nJSON-LD document as idiomatic JSON because there are many ways to express the\nsame data that are logically equivalent but structurally distinct.\n\nSeveral schema languages exist for describing and validating JSON data, such as\nJSON Schema and Apache Avro data serialization system, however none\nunderstand linked data.  As a result, to fully take advantage of JSON-LD to\nbuild the next generation of linked data applications, one must maintain\nseparate JSON schema, JSON-LD context, RDF schema, and human documentation,\ndespite significant overlap of content and obvious need for these documents to\nstay synchronized.\n\nSchema Salad is designed to address this gap.  It provides a schema language\nand processing rules for describing structured JSON content permitting URI\nresolution and strict document validation.  The schema language supports linked\ndata through annotations that describe the linked data interpretation of the\ncontent, enables generation of JSON-LD context and RDF schema, and production\nof RDF triples by applying the JSON-LD context.  The schema language also\nprovides for robust support of inline documentation.\n\n.. _JSON-LD: http://json-ld.org\n.. _Avro: http://avro.apache.org\n.. _metaschema: https://github.com/common-workflow-language/schema_salad/blob/master/schema_salad/metaschema/metaschema.yml\n.. _specification: http://www.commonwl.org/v1.0/SchemaSalad.html\n.. _Language: https://github.com/common-workflow-language/common-workflow-language/blob/master/v1.0/CommandLineTool.yml\n.. _RDF: https://www.w3.org/RDF/", 
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