Nuxeo 5.3 and Semantic R&D

Ch’ti
JUG

Nuxeo 5.3 and Semantic Nuxeo

22 octobre 2009

Copyright © Ch'ti JUG – License Creative Commons 2.0 France

Ch’ti
JUG


Ch’ti
Nuxeo 5.3 Architecture and
JUG 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

Ch’ti The company
JUG
 Nuxeo editor: Nuxeo EP
• Open Source ECM
 Support subscriptions: Nuxeo Connect
 CEVA integrations
 Nuxeo DM - Cloud Edition
 Custom developments and Consulting


Ch’ti Nuxeo
JUG


Ch’ti Nuxeo is hiring
JUG
http://www.nuxeo.com/en/societe/jobs

Copyright © Nuxeo – License Creative Commons 2.0 France

Ch’ti Nuxeo EP – Architecture
JUG


Ch’ti Nuxeo Core (Repository)
JUG
Nuxeo Core
Core Services
Lifecycle Doc types Security
Events Versioning Query

Core Repository
Content Repository

Adapter Adapter
JCR VCS

Ch’ti Nuxeo EP – Main services
JUG
 Repository (Document Types /
Version / ACL / Lifecycle)
 UserManager + Directories (User /
Groups – SQL + LDAP)
 Workflow (JBPM)
 Audit (Record Management)
 Relation Service (Jena document
links)
 Tag service ...


Ch’ti Nuxeo DM demo
JUG


Ch’ti Apogée – Nuxeo RCP
JUG


Ch’ti
Nuxeo Digital Asset
JUG Management


Ch’ti Other applications
JUG
 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


Ch’ti Semantic R&D
JUG
 Scribo – IKS – Eureka
 Semantic Web?
 Named Entities Recognition
 Semantic Relationships Extraction
 Automated document categorization
 Keyphrase (e.g. Tag) extraction
 Semantic Hashing for similarity search


Ch’ti Semantic Web
JUG
 Linked entities and properties in a
global namespace


Ch’ti Named Entities Recognition
JUG
 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, ...

Ch’ti Scribo UIMA Architecture
JUG


Ch’ti Embedded UIMA chain
JUG


Ch’ti NER Demo – Scribo Worbench
JUG


Ch’ti Semantic Hashing
JUG
 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


Ch’ti Autoencoders - step 1
JUG

960 floats GIST of noised image

Encoder 0

400 floats – intermediate
code Decoder 0

960 floats GIST of
noiseless image


Ch’ti Autoencoders – step 2
JUG
960 floats GIST of
noised
Encoder 0

400 floats – intermediate code

Encoder 1

Decoder 1

400 floats
for encoder_0(noiseless image)

Ch’ti Autoencoders – step 3
JUG
960 floats GIST code

Encoder 0


Encoder 1

Binary Threshold

64 bits Integer semantic hash


Ch’ti Expected results on pictures
JUG

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


Ch’ti Questions ?
JUG


Ch’ti Licence
JUG
 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/


Ch’ti Cocktail
JUG

 Merci pour votre attention

 Merci à Ineat Conseil pour son
sponsoring


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