lib/venus/examples/filters/categories/categories.xslt

-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE xsl:stylesheet [
-<!ENTITY categoryTerm "WebSemantique">
-]>
-<!-- 
-
-  This transformation is released under the same licence as Python
-  see http://www.intertwingly.net/code/venus/LICENCE.
-
-  Author: Eric van der Vlist <vdv@dyomedea.com>
-  
-  This transformation is meant to be used as a filter that determines if
-  Atom entries are relevant to a specific topic and adds the corresonding
-  <category/> element when it is the case.
-  
-  This is done by a simple keyword matching mechanism.
-  
-  To customize this filter to your needs:
-  
-    1) Replace WebSemantique by your own category name in the definition of
-        the categoryTerm entity above.
-    2) Review the "upper" and "lower" variables that are used to convert text
-        nodes to lower case and replace common ponctuation signs into spaces
-        to check that they meet your needs.
-    3) Define your own list of keywords in <d:keyword/> elements. Note that 
-        the leading and trailing spaces are significant: "> rdf <" will match rdf
-        as en entier word while ">rdf<" would match the substring "rdf" and
-        "> rdf<" would match words starting by rdf. Also note that the test is done
-        after conversion to lowercase.
-
-  To use it with venus, just add this filter to the list of filters, for instance:
-  
-filters= categories.xslt guess_language.py
-  
--->
-<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
-  xmlns:atom="http://www.w3.org/2005/Atom" xmlns="http://www.w3.org/2005/Atom"
-  xmlns:d="http://ns.websemantique.org/data/" exclude-result-prefixes="d atom" version="1.0">
-  <xsl:variable name="upper"
-    >,.;AaBbCcDdEeFfGgHhIiJjKkLlMmNnOoPpQqRrSsTtUuVvWwXxYyZzÀàÁáÂâÃãÄäÅåÆæÇçÈèÉéÊêËëÌìÍíÎîÏïÐðÑñÒòÓóÔôÕõÖöØøÙùÚúÛûÜüÝýÞþ</xsl:variable>
-  <xsl:variable name="lower"
-    >   aabbccddeeffgghhiijjkkllmmnnooppqqrrssttuuvvwwxxyyzzaaaaaaaaaaaaææcceeeeeeeeiiiiiiiiððnnooooooooooøøuuuuuuuuyyþþ</xsl:variable>
-  <d:keywords>
-    <d:keyword> wiki semantique </d:keyword>
-    <d:keyword> wikis semantiques </d:keyword>
-    <d:keyword> web semantique </d:keyword>
-    <d:keyword> websemantique </d:keyword>
-    <d:keyword> semantic web</d:keyword>
-    <d:keyword> semweb</d:keyword>
-    <d:keyword> rdf</d:keyword>
-    <d:keyword> owl </d:keyword>
-    <d:keyword> sparql </d:keyword>
-    <d:keyword> topic map</d:keyword>
-    <d:keyword> doap </d:keyword>
-    <d:keyword> foaf </d:keyword>
-    <d:keyword> sioc </d:keyword>
-    <d:keyword> ontology </d:keyword>
-    <d:keyword> ontologie</d:keyword>
-    <d:keyword> dublin core </d:keyword>
-  </d:keywords>
-  <xsl:template match="@*|node()">
-    <xsl:copy>
-      <xsl:apply-templates select="@*|node()"/>
-    </xsl:copy>
-  </xsl:template>
-  <xsl:template match="atom:entry/atom:updated">
-    <xsl:copy>
-      <xsl:apply-templates select="@*|node()"/>
-    </xsl:copy>
-    <xsl:variable name="concatenatedText">
-      <xsl:for-each select="../atom:title|../atom:summary|../atom:content|../atom:category/@term">
-        <xsl:text> </xsl:text>
-        <xsl:value-of select="translate(., $upper, $lower)"/>
-      </xsl:for-each>
-      <xsl:text> </xsl:text>
-    </xsl:variable>
-    <xsl:if test="document('')/*/d:keywords/d:keyword[contains($concatenatedText, .)]">
-      <category term="WebSemantique"/>
-    </xsl:if>
-  </xsl:template>
-  <xsl:template match="atom:category[@term='&categoryTerm;']"/>
-</xsl:stylesheet>

lib/venus/examples/filters/guess-language/README

-This filter is released under the same licence as Python
-see http://www.intertwingly.net/code/venus/LICENCE.
-
-Author: Eric van der Vlist <vdv@dyomedea.com>
-  
-This filter guesses whether an Atom entry is written
-in English or French. It should be trivial to chose between
-two other languages, easy to extend to more than two languages
-and useful to pass these languages as Venus configuration
-parameters.
-
-The code used to guess the language is the one that has been
-described by Douglas Bagnall as the Python recipe titled
-"Language detection using character trigrams"
-http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/326576.
-
-To add support for a new language, this language must first be
-"learned" using learn-language.py. This learning phase is nothing
-more than saving a pickled version of the Trigram object for this
-language. 
-
-To learn Finnish, you would execute:
-
-$ ./learn-language.py http://gutenberg.net/dirs/1/0/4/9/10492/10492-8.txt fi.data
-
-where http://gutenberg.net/dirs/1/0/4/9/10492/10492-8.txt is a text
-representative of the Finnish language and "fi.data" is the name of the
-data file for "fi" (ISO code for Finnish).
-
-To install this filter, copy this directory under the Venus
-filter directory and declare it in your filters list, for instance:
-
-filters= categories.xslt guess-language/guess-language.py
-
-NOTE: this filter depends on Amara 
-(http://uche.ogbuji.net/tech/4suite/amara/)
-