[NLP2RDF] Salient words extraction (e.g. ontology, Open Source projects)

[Adrian Walker]

Hi Jean-Marc & All,

Another approach -- perhaps complementary -- is to write ontology-like apps
in Executable English (or German, etc)

Then, Google and other engines find the ontology-apps for you.

Example: Slides 23-24 of

Executable_Open_Vocabulary_English_w3c_egov<http://www.reengineeringllc.com/A_Wiki_for_Executable_Open_Vocabulary_English_w3c_egov.pdf>

HTH,  -- Adrian

Internet Business Logic
A Wiki and SOA Endpoint for Executable Open Vocabulary English over SQL and
RDF
Online at www.reengineeringllc.com
Shared use is free, and there are no advertisements

Adrian Walker
Reengineering

On Sun, Jan 13, 2013 at 7:03 AM, Jean-Marc Vanel
<jeanmarc.vanel at gmail.com>wrote:

> In fact it is not hard to understand an ontology, but it is hard to
> know which ontology to use.
>
> There is no "directory" of ontologies. It's like the menu of ice
> creams, there are many. There are rather search engines but
> traditional ones, not conceptual, such as swogle, falcons [1] ... It
> is so open, that it's hard even for knowledge experts to choose good
> ontologies.
>
> To remedy this, what I have planned is to create tools to help
> authors, users or developers to annotate ontologies with concepts from
> DBpedia or WordNet, using NLP analyzers.
>
> So what it would be is a tool for extracting salient words from
> English, which outputs 5 to 10 relevant words, typically from a
> rdfs:comment. These words are then (if necessary) disambiguated , for
> example using a Wikipedia Web Service (the one you use when typing in
> the Wikipedia search field).
>
> Salient words (here music), will be put in triples such as:
>
> <myOntology> skos:subject DBpedia:Music.
>
> which can then be used in the ontology itself (the best), or added in
> Turtle or RDF documents online or SPARQL databases and / or
> collaborative sites such prefix.cc [2].
>
> Thus a human or an agent program could find a software component more
> accurately. The issue about ontologies is similar to Open Source
> programs, and many other types of resources.
>
> Ideally, the software component for the NLP extraction would in Java
> and Open Source, which would facilitate the addition in the EulerGUI
> environment [3]. I feel that nlp2rdf could help. It already has a web
> service for parsing. What is missing is processing the syntax tree in
> RDF for the salient words, or directly using an NLP tool.
>
> [1] Finding ontologies on the Web:
>
>
> http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html#Finding2
>
> [2] collaborative website for ontologies and their prefixes:
> http://prefix.cc
>
> [3] EulerGUI , GUI environment and framework for Semantic Web and rules
>
>
> http://eulergui.svn.sourceforge.net/viewvc/eulergui/trunk/eulergui/html/documentation.html
>
>
>
> --
> Jean-Marc Vanel
> Déductions SARL - Consulting, services, training,
> Rule-based programming, Semantic Web
> http://deductions-software.com/
> +33 (0)6 89 16 29 52
> Twitter: @jmvanel ; chat: irc://irc.freenode.net#eulergui
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>
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