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announcing INQLE v 0.3 [message #123419]

Sun, 01 March 2009 07:56

Eclipse User

INQLE (Intelligent Network of Querying and Learning Engines) is an open
source RAP-powered server, which automates machine learning over semantic
data (RDF).
It enables nonprofessionals to work with RDF and do data mining to find
correlations in any data.
http://code.google.com/p/inqle

INQLE functions:
* Set-up wizard
* Create & manage TDB databases
* Advanced wizard to import spreadsheet data as RDF
* Central INQLE Server for collaborative tagging of semantic classes &
properties
* Publish data as RDF
* Faceted RDF browsing
* "The Learning Cycle": repeated execution of automated machine learning
experiments
* Customization of learning strategies
* Review and export of experimental results

Architecture:
* Java
* Jena semantic web toolkit provides machine-readable data (RDF).
* Jena TDB is the back-end database.
* Jenabean permits Java objects to be persisted to RDF.
* RapidMiner provides machine learning experiments.
* Equinox OSGi provides automated agents and extensibility through
plug-ins.
* Eclipse RAP provides the rich, web-based console and wizards.

Collaborators wanted! There is much room for your creative ideas.
* Redesign the RAP UI to be deployable as an RCP-based desktop app
* "Intelligent" data sampling algorithms, which leverage results of past
experiments.
* More future directions here
http://groups.google.com/group/inqle-core/browse_thread/thre ad/435d168d6f4d7af7

Many thanks to the RAP team for a brilliant product, that has met every
one of INQLE's requirements!

Re: announcing INQLE v 0.3 [message #123471 is a reply to message #123419]

Mon, 02 March 2009 09:14

Eclipse User

David Donohue wrote:
> INQLE (Intelligent Network of Querying and Learning Engines) is an open
> source RAP-powered server, which automates machine learning over
> semantic data (RDF). It enables nonprofessionals to work with RDF and do
> data mining to find correlations in any data.
> http://code.google.com/p/inqle
>
> INQLE functions:
> * Set-up wizard
> * Create & manage TDB databases
> * Advanced wizard to import spreadsheet data as RDF
> * Central INQLE Server for collaborative tagging of semantic classes &
> properties
> * Publish data as RDF
> * Faceted RDF browsing
> * "The Learning Cycle": repeated execution of automated machine
> learning experiments
> * Customization of learning strategies
> * Review and export of experimental results
>
> Architecture:
> * Java
> * Jena semantic web toolkit provides machine-readable data (RDF).
> * Jena TDB is the back-end database.
> * Jenabean permits Java objects to be persisted to RDF.
> * RapidMiner provides machine learning experiments.
> * Equinox OSGi provides automated agents and extensibility through
> plug-ins.
> * Eclipse RAP provides the rich, web-based console and wizards.
>
> Collaborators wanted! There is much room for your creative ideas.
> * Redesign the RAP UI to be deployable as an RCP-based desktop app
> * "Intelligent" data sampling algorithms, which leverage results of
> past experiments.
> * More future directions here
> http://groups.google.com/group/inqle-core/browse_thread/thre ad/435d168d6f4d7af7
>
>
> Many thanks to the RAP team for a brilliant product, that has met every
> one of INQLE's requirements!

Very cool David!

It would be great to see a screencast of this technology!

Cheers,

Chris Aniszczyk | EclipseSource Austin | +1 860 839 2465
http://twitter.com/eclipsesource | http://twitter.com/caniszczyk

Re: announcing INQLE v 0.3 [message #123509 is a reply to message #123419]

Mon, 02 March 2009 10:07

Eclipse User

Hi David,

well done! It's really nice to see the one of the first open-source
RAP-based application in the wild. As Chris said, you should provide
some screenshots or screencasts so people can get an impression of your
work more easily. Or even deploy a version of INQLE to a public server -
come on, it's a web application ;-)

Cheers
Benny

David Donohue wrote:
> INQLE (Intelligent Network of Querying and Learning Engines) is an open
> source RAP-powered server, which automates machine learning over
> semantic data (RDF). It enables nonprofessionals to work with RDF and do
> data mining to find correlations in any data.
> http://code.google.com/p/inqle
>
> INQLE functions:
> * Set-up wizard
> * Create & manage TDB databases
> * Advanced wizard to import spreadsheet data as RDF
> * Central INQLE Server for collaborative tagging of semantic classes &
> properties
> * Publish data as RDF
> * Faceted RDF browsing
> * "The Learning Cycle": repeated execution of automated machine
> learning experiments
> * Customization of learning strategies
> * Review and export of experimental results
>
> Architecture:
> * Java
> * Jena semantic web toolkit provides machine-readable data (RDF).
> * Jena TDB is the back-end database.
> * Jenabean permits Java objects to be persisted to RDF.
> * RapidMiner provides machine learning experiments.
> * Equinox OSGi provides automated agents and extensibility through
> plug-ins.
> * Eclipse RAP provides the rich, web-based console and wizards.
>
> Collaborators wanted! There is much room for your creative ideas.
> * Redesign the RAP UI to be deployable as an RCP-based desktop app
> * "Intelligent" data sampling algorithms, which leverage results of
> past experiments.
> * More future directions here
> http://groups.google.com/group/inqle-core/browse_thread/thre ad/435d168d6f4d7af7
>
>
> Many thanks to the RAP team for a brilliant product, that has met every
> one of INQLE's requirements!
>
>
>

--
Benjamin Muskalla | EclipseSource Karlsruhe
http://www.eclipsesource.com | http://twitter.com/eclipsesource

Re: announcing INQLE v 0.3 [message #123561 is a reply to message #123509]

Mon, 02 March 2009 16:17

Eclipse User

Hi Chris & Benny,
Thanks much for the feedback! You are right of course. I will get a demo
up & running post haste. In the meantime, some screenshots are in the
wiki pages:
http://code.google.com/p/inqle/wiki/How_To_Load_Data_Into_IN QLE
http://code.google.com/p/inqle/wiki/How_to_Run_Experimenter_ Agent

I would be grateful for any other comments! I am sure much of my RAP
implementation does not take full advantage of this robust framework.
Best,
David Donohue

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