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Posted to commits@jena.apache.org by an...@apache.org on 2018/12/17 14:36:55 UTC

svn commit: r1849098 - /jena/site/trunk/content/documentation/csv/index.mdtext

Author: andy
Date: Mon Dec 17 14:36:55 2018
New Revision: 1849098

URL: http://svn.apache.org/viewvc?rev=1849098&view=rev
Log:
JENA-1650: Retire jena-csv

Modified:
    jena/site/trunk/content/documentation/csv/index.mdtext

Modified: jena/site/trunk/content/documentation/csv/index.mdtext
URL: http://svn.apache.org/viewvc/jena/site/trunk/content/documentation/csv/index.mdtext?rev=1849098&r1=1849097&r2=1849098&view=diff
==============================================================================
--- jena/site/trunk/content/documentation/csv/index.mdtext (original)
+++ jena/site/trunk/content/documentation/csv/index.mdtext Mon Dec 17 14:36:55 2018
@@ -1,60 +1,8 @@
 Title: CSV PropertyTable
 
-This module is about getting CSVs into a form that is amenable to Jena SPARQL processing, and doing so in a way that is not specific to CSV files. 
-It includes getting the right architecture in place for regular table shaped data, using the core abstraction of PropertyTable.
-
-*Illustration*
-
-This module involves the basic mapping of CSV to RDF using a fixed algorithm, including interpreting data as numbers or strings.
-
-Suppose we have a CSV file located in “file:///c:/town.csv”, which has one header row, two data rows:
-
-    Town,Population
-    Southton,123000
-    Northville,654000
- 
-As RDF this might be viewable as:
- 
-    @prefix : <file:///c:/town.csv#> .
-    @prefix csv: <http://w3c/future-csv-vocab/> .
-    [ csv:row 1 ; :Town "Southton" ; :Population  “123000”^^http://www.w3.org/2001/XMLSchema#int ] .
-    [ csv:row 2 ; :Town "Northville" ; :Population  “654000”^^http://www.w3.org/2001/XMLSchema#int  ] .
- 
-or without the bnode abbreviation:
- 
-    @prefix : <file:///c:/town.csv#> .
-    @prefix csv: <http://w3c/future-csv-vocab/> .
-    _:b0  csv:row 1 ;
-          :Town "Southton" ;
-          :Population “123000”^^http://www.w3.org/2001/XMLSchema#int .
-    _:b1  csv:row 2 ;
-          :Town "Northville" ;
-          :Population “654000”^^http://www.w3.org/2001/XMLSchema#int.
-          
-Each row is modeling one "entity" (here, a population observation). 
-There is a subject (a blank node) and one predicate-value for each cell of the row. 
-Row numbers are added because it can be important. 
-Now the CSV file is viewed as a graph - normal, unmodified SPARQL can be used. 
-Multiple CSVs files can be multiple graphs in one dataset to give query across different data sources.
- 
-We can use the following SPARQL query for “Towns over 500,000 people” mentioned in the CSV file:
- 
-    SELECT ?townName ?pop {
-      GRAPH <file:///c:/town.csv> {
-        ?x :Town ?townName ;
-           :Popuation ?pop .
-        FILTER(?pop > 500000)
-      }
-    }
-
-What's more, we make some room for future extension through `PropertyTable`.
-The [architecture](design.html) is designed to be able to accommodate any table-like data sources, such as relational databases, Microsoft Excel, etc.
-
-## Documentation
-
--   [Get Started](get_started.html)
--   [Design](design.html)
--   [Implementation](implementation.html)
-
-
-
+----
+> This page covers the jena-csv module which has been retired.
+> The last release of Jena with this module is Jena 3.9.0.
+> See [jena-csv/README.md](https://github.com/apache/jena/tree/master/jena-csv).
+> The [original documentation](csv).
+----