Improve README.rst

Author: Peter Amstutz

README.rst

@@ -1,24 +1,46 @@
-SALAD is Semantic Annotations for Linked Avro Data.
----------------------------------------------------
-
-Salad is a schema language for describing structured linked data documents in
-JSON or YAML documents.  A Salad schema provides rules for preprocessing,
-structural validation, and link checking for documents described by a Salad
-schema.  Salad builds on JSON-LD and the Apache Avro data serialization system,
-and extends Avro with features for rich data modeling such as inheritance,
-template specialization, object identifiers, and object references.  Salad was
-developed to provide a bridge between the record oriented data modeling
-supported by Apache Avro and the Semantic Web.
+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
+
+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 extremely 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
-means that basic JSON lacks expressive features useful for working with complex
-data structures and document formats, such as schemas, object references, and
-namespaces.
+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
@@ -29,11 +51,12 @@ 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
-the 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.
+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
@@ -43,10 +66,9 @@ 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.
 
-Learn more
-----------
-
-Please note that Salad is still under development.  Salad is specified by the
-metaschema_
-
-.. _metaschema: schema_salad/metaschema.yml
+.. _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: https://common-workflow-language.github.io/draft-3/SchemaSalad.html
+.. _Language: https://github.com/common-workflow-language/common-workflow-language/blob/master/draft-3/CommandLineTool.yml
+.. _RDF: https://www.w3.org/RDF/