[iks-community] Introducing myself and the Nuxeo platform

[John Pereira]

Hi
Olivier

Thanks for the introduction and welcome onboard.

Looking forward to your demo next month.


Best Regards
--  
John Pereira
Salzburg Research Forschungsgesellschaft
Information Society Research
Jakob-Haringer Strasse 5/II
5020 Salzburg
Austria

email   john.pereira at salzburgresearch.at
phone   +43 (0)662 2288 247
skype j_g_pereira
mobile +43 (0) 660 1227 480
fax     +43 (0)662 2288 222

Interactive Knowledge Stack (IKS)
A semantics-based open source platform for
small to medium CMS providers

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On 20,Oct 2009, at 2:57 PM, Olivier Grisel wrote:

> Dear all,
>
> My name is Olivier Grisel and I am an R&D Engineer at Nuxeo,
> specialized on semantic related features with some background on
> Machine Learning and Semantic Web related techs.
>
> Nuxeo EP is an Open Source ECM (Enterprise Content Management)
> platform based on a runtime component system with partial OSGi
> compatibility and featuring a default Document Management Seam/JSF web
> application (Nuxeo DM) with workspaces, document types, workflows,
> versioning, access rights, publication, ... Nuxeo DM already features
> Jena based knowledge base (triple store) to link documents together,
> with external URIs or with comment threads. We also have an
> XHTML-based ajax annotation system that uses on the RDF Annotea
> standard as datamodel. Furtheremore Nuxeo uses the Dublincore standard
> as a datamadol for the base document properties.
>
> As part of the Scribo project [1], we are working on integrating
> semantic knowledge extractors to semi-automatically enrich the
> knowledge base with named entities and semantic relationship found in
> unstructured text content using UIMA components. We plan to integrate
> a CRFs-based Named Entities extractor trained on multilingual corpora
> such as wikipedia. CRFs are a machine learning algorithms to perform
> Natural Language Processing of token sequences.
>
> We are also working on a Digital Asset Management (Multimedia
> collections management system) application and want to use make it
> extract semantic metadata as automatically as possible to make it
> trivial to browse the collection in smart ways. To achieve this goal I
> started a python prototype / proof of concept  to implement similarity
> based search for pictures [3] based on a semantic hashing algorithm
> [5] that takes GIST image descriptors in 960 float dimensions as input
> [4] and give 64 bit binary code as output to enable fast database
> lookups on very large image collections.
>
> The same kind on semantic hashing algorithms should also work on
> textual content [6] described with sparse TF-IDF vectors. A
> preliminary backlog a semantic related feature for the Nuxeo platform
> is to be found here in our Jira instance [7].
>
> [1] http://www.nuxeo.com/en
> [2] http://www.scribo.ws/
> [3] http://wiki.iks-project.eu/index.php/User- 
> stories#Story_03:_Similarity-based_Image_Search
> [4] http://code.oliviergrisel.name/pyleargist/src/tip/README.txt
> [5] http://code.oliviergrisel.name/libsgd/src/9f3f374becc8/examples/semantic_hashing.py
> [6] http://wiki.iks-project.eu/index.php/User- 
> stories#Story_09:_Similarity_based_document_search
> [7] http://jira.nuxeo.org/secure/IssueNavigator.jspa?reset=true&pid=10273&status=1
>
> Looking forward to meeting you all in Roma,
>
> -- 
> Olivier - http://twitter.com/ogrisel
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