Nuxeo 5.3 and Semantic R&D

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Nuxeo 5.3 and Semantic Nuxeo

22 octobre 2009



Nuxeo 5.3 Architecture and Semantic R&D

Nuxeo - The company Nuxeo EP - Architecture overview Nuxeo DM 5.3 - new features

• Open Social• Windows SharePoint Services

Nuxeo Semantic R&D• Scribo / IKS / Eureka• The Semantic Web• Named Entities Recognition• Semantic Hashing for fast image lookup



The company

Nuxeo editor: Nuxeo EP• Open Source ECM

Support subscriptions: Nuxeo Connect CEVA integrations Nuxeo DM - Cloud Edition Custom developments and Consulting



Nuxeo


Copyright © Nuxeo – License Creative Commons 2.0 France

Nuxeo is hiring

http://www.nuxeo.com/en/societe/jobs



Nuxeo EP – Architecture



Nuxeo Core (Repository)

Nuxeo Core

JCRJCR

Core Services

Core Repository

LifecycleLifecycle Doc typesDoc types

EventsEvents VersioningVersioning

SecuritySecurity

Content RepositoryContent Repository

VCSVCS

QueryQuery

AdapterAdapter AdapterAdapter



Nuxeo EP – Main services

Repository (Document Types / Version / ACL / Lifecycle)

UserManager + Directories (User / Groups – SQL + LDAP)

Workflow (JBPM) Audit (Record Management) Relation Service (Jena document

links) Tag service ...



Nuxeo DM demo



Apogée – Nuxeo RCP



Nuxeo Digital Asset Management



Other applications

Nuxeo Digital Asset Management• Multimedia collection management• Fully Ajaxified filter based UI• Video / Audio streaming• Similarity search

Nuxeo Correspondence• FAX & Snail Mails imports• Smart routing workflows



Semantic R&D

Scribo – IKS – Eureka Semantic Web? Named Entities Recognition Semantic Relationships Extraction Automated document categorization Keyphrase (e.g. Tag) extraction Semantic Hashing for similarity search



Semantic Web

Linked entities and properties in a global namespace



Named Entities Recognition

Find occurrences of:• Persons• Places (Countries, Cities, Seas, …)• Organizations (Companies,

Gouvernments, NGOs, …)

Based on NLP algorithms• Explicit Linguistic Rules• Machine Learning (e.g. SVMs, CRFs, ...)

Links to Wikipedia / DBPedia / Freebase, ...



Scribo UIMA Architecture



Embedded UIMA chain



NER Demo – Scribo Worbench



Semantic Hashing

GIST Image extraction• Vector of 960 float parameters

Semantic Hashing• Int64 code that preserves semantics

Algorithms• Stacked Denoising Autoencoders• Locality Sensitive Hashing• Spectral Hashing• Deep Belief Networks



Autoencoders - step 1

Encoder 0

960 floats GIST of noised image

400 floats – intermediate code

960 floats GIST of noiseless image

Decoder 0



Autoencoders – step 2

Encoder 0

960 floats GIST of noised


Encoder 1


Decoder 1

400 floats for encoder_0(noiseless image)



Autoencoders – step 3

Encoder 0

960 floats GIST code


Encoder 1

64 floats – intermediate codeBinary Threshold

64 bits Integer semantic hash



Expected results on pictures

Results from: Learning to Hash with Binary Reconstructive Embeddings – 2009 Brian Kulis, Trevor Darrell



Questions ?



Licence

Les photos et logos appartiennent à leurs auteurs respectifs

Le contenu de la présentation est sous licence Creative Commons 2.0 France• Contrat Paternité• Pas d'Utilisation Commerciale• Partage des Conditions Initiales à

l'Identique http://creativecommons.org/licenses/by-nc-sa/2.0/fr/

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Cocktail

Merci pour votre attention

Merci à Ineat Conseil pour son sponsoring

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Nuxeo 5.3 and Semantic R&D

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