Hi Jean-Marc & All,<br><br>Another approach -- perhaps complementary -- is to write ontology-like apps in Executable English (or German, etc)<br><br>Then, Google and other engines find the ontology-apps for you.<br><br>
Example: Slides 23-24 of <br><br><a href="http://www.reengineeringllc.com/A_Wiki_for_Executable_Open_Vocabulary_English_w3c_egov.pdf"><span style="color:rgb(0,0,153)"><font size="1">Executable_Open_Vocabulary_English_w3c_egov</font></span></a><br>
<br>HTH, -- Adrian<br><br>Internet Business Logic<br>A Wiki and SOA Endpoint for Executable Open Vocabulary English over SQL and RDF<br>Online at <a href="http://www.reengineeringllc.com">www.reengineeringllc.com</a> <br>
Shared use is free, and there are no advertisements<br><br>Adrian Walker<br>Reengineering<br><br><div class="gmail_quote">On Sun, Jan 13, 2013 at 7:03 AM, Jean-Marc Vanel <span dir="ltr"><<a href="mailto:jeanmarc.vanel@gmail.com" target="_blank">jeanmarc.vanel@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">In fact it is not hard to understand an ontology, but it is hard to<br>
know which ontology to use.<br>
<br>
There is no "directory" of ontologies. It's like the menu of ice<br>
creams, there are many. There are rather search engines but<br>
traditional ones, not conceptual, such as swogle, falcons [1] ... It<br>
is so open, that it's hard even for knowledge experts to choose good<br>
ontologies.<br>
<br>
To remedy this, what I have planned is to create tools to help<br>
authors, users or developers to annotate ontologies with concepts from<br>
DBpedia or WordNet, using NLP analyzers.<br>
<br>
So what it would be is a tool for extracting salient words from<br>
English, which outputs 5 to 10 relevant words, typically from a<br>
rdfs:comment. These words are then (if necessary) disambiguated , for<br>
example using a Wikipedia Web Service (the one you use when typing in<br>
the Wikipedia search field).<br>
<br>
Salient words (here music), will be put in triples such as:<br>
<br>
<myOntology> skos:subject DBpedia:Music.<br>
<br>
which can then be used in the ontology itself (the best), or added in<br>
Turtle or RDF documents online or SPARQL databases and / or<br>
collaborative sites such prefix.cc [2].<br>
<br>
Thus a human or an agent program could find a software component more<br>
accurately. The issue about ontologies is similar to Open Source<br>
programs, and many other types of resources.<br>
<br>
Ideally, the software component for the NLP extraction would in Java<br>
and Open Source, which would facilitate the addition in the EulerGUI<br>
environment [3]. I feel that nlp2rdf could help. It already has a web<br>
service for parsing. What is missing is processing the syntax tree in<br>
RDF for the salient words, or directly using an NLP tool.<br>
<br>
[1] Finding ontologies on the Web:<br>
<br>
<a href="http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html#Finding2" target="_blank">http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html#Finding2</a><br>
<br>
[2] collaborative website for ontologies and their prefixes: <a href="http://prefix.cc" target="_blank">http://prefix.cc</a><br>
<br>
[3] EulerGUI , GUI environment and framework for Semantic Web and rules<br>
<br>
<a href="http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html" target="_blank">http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html</a><br>
<span class="HOEnZb"><font color="#888888"><br>
<br>
<br>
--<br>
Jean-Marc Vanel<br>
Déductions SARL - Consulting, services, training,<br>
Rule-based programming, Semantic Web<br>
<a href="http://deductions-software.com/" target="_blank">http://deductions-software.com/</a><br>
<a href="tel:%2B33%20%280%296%2089%2016%2029%2052" value="+33689162952">+33 (0)6 89 16 29 52</a><br>
Twitter: @jmvanel ; chat: irc://<a href="http://irc.freenode.net#eulergui" target="_blank">irc.freenode.net#eulergui</a><br>
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</font></span></blockquote></div><br>