triplify.org - Documentation

2009-11-17 18:13:59

Comparison for /Documentation of 2009-11-17 18:13:59 and 2010-06-29 15:25:50

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Elgg social network: (contributed by Nikolas D. Dovrolis)

2009-11-17 18:00:10

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Publishing update logs as Linked Data

Triplify can be used for publishing a hierarchically structured update log as linked data itself. Details can be found here:
http://triplify.org/vocabulary/update

2009-10-30 21:34:48

Comparison for /Documentation of 2009-10-30 21:34:48 and 2009-11-17 18:00:10

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After you have downloaded and extracted the Triplify script into your Web application, you have to create a Triplify configuration suitable for your Web application. You can view the Triplify example configuration with detailed explanations.

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2009-10-30 21:33:19

Comparison for /Documentation of 2009-10-30 21:33:19 and 2009-10-30 21:34:48

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In this example, an URL request of http://example.com/triplify/product/45 would match the regular expression '/^product\/([0–9]+)$/' given as key in the queries configuration array. Triplify would then substitute any occurrences of back references via $n in the SQL query to matching patterns in the requested URL, execute the query and transform the result into RDF.

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In this example, an URL request of http://example.com/triplify/product/45 would match the regular expression '/^product\/([0–9]+)$/' given as key in the queries configuration array. Triplify would then substitute any occurrences of back references via $n in the SQL query to matching patterns in the requested URL, execute the query and transform the result into RDF.

2009-10-30 17:19:45

Comparison for /Documentation of 2009-10-30 17:19:45 and 2009-10-30 21:33:19

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In this example, an URL request of http://example.com/triplify/product/45## would match the regular expression '/^product\/([0–9]+)$/' given as key in the queries configuration array. Triplify would then substitute any occurrences of back references via $n in the SQL query to matching patterns in the requested URL, execute the query and transform the result into RDF.

2009-10-30 17:19:17

Comparison for /Documentation of 2009-10-30 17:19:17 and 2009-10-30 17:19:45

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2009-10-30 17:09:46

Comparison for /Documentation of 2009-10-30 17:09:46 and 2009-10-30 17:19:17

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The default behavior of Triplify of mapping URIs of the pattern http://example.com/triplify/CLASS/ID to SQL queries can be easily extended by using regular expressions to match request URL's:

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The default behavior of Triplify of mapping URIs of the pattern http://example.com/triplify/CLASS/ID to SQL queries can be easily extended by using regular expressions to match request URL's:

2009-10-30 16:35:04

Comparison for /Documentation of 2009-10-30 16:35:04 and 2009-10-30 17:09:46

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Using Regular Expressions for Mapping URLs to RDF

The default behavior of Triplify of mapping URIs of the pattern http://example.com/triplify/CLASS/ID to SQL queries can be easily extended by using regular expressions to match request URL's:
$triplify['queries']=array(

'/^product\/([0–9]+)$/'=>'SELECT id, name FROM products WHERE id="$1"'

);
In this example, an URL request of http://example.com/triplify/product/45 would match the regular expression '/^product\/([0–9]+)$/' given as key in the queries configuration array. Triplify would then substitute any occurrences of back references via $n in the SQL query to matching patterns in the requested URL, execute the query and transform the result into RDF.
This approach enables Triplify to be used for easily creating RDF returning REST services. A more complex example, which is used to realize the LinkedGeoData near REST service is:
$triplify['queries']=array(

'/^near\/(-?[0–9\.]+),(-?[0–9\.]+)\/([0–9]+)\/?$/'=>'SELECT CONCAT(«base:»,n.type,"/",n.id,"#id") AS id, CONCAT(«vocabulary:»,n.type) AS "rdf:type", '.$latlon.',

rv.label AS "t:unc", REPLACE(rk.label,":","%25"), '.$distance.'

FROM elements n

INNER JOIN tags t USING(type,id)
INNER JOIN resources rk ON(rk.id=t.k)
INNER JOIN resources rv ON(rv.id=t.v)

WHERE '.$box.'
HAVING distance < $3 LIMIT 1000',
);

2009-10-30 16:32:01

Comparison for /Documentation of 2009-10-30 16:32:01 and 2009-10-30 16:35:04

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For example the 3 billion LinkedGeoData triples have been generated using Triplify.