6. Invented the web in 1989
(yeah!)
Photo source: http://www.flickr.com/photos/pixelydixel/
Monday, November 22, 2010
7. Invented the web in 1989
(yeah!)
Invented the semantic
web in 1999 (duh?)
Photo source: http://www.flickr.com/photos/pixelydixel/
Monday, November 22, 2010
8. Historical perspective
• From web 1.0: web of pages, aka the
World Wide Web
• To web 2.0: web of people and of
participation, aka the Social Web
• To web 3.0: web of data, of meaning
and of connected knowledge, aka the
Semantic Web
Monday, November 22, 2010
13. A “layer cake” of
technologies
Monday, November 22, 2010
14. Linked Online Data in 2007
“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
Monday, November 22, 2010
15. 2008
“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
Monday, November 22, 2010
16. 2009
“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
Monday, November 22, 2010
17. 2010
“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
Monday, November 22, 2010
18. Good for Enterprise apps too!
Diagram source: http://www.w3.org/2007/Talks/0130-sb-W3CTechSemWeb/
Monday, November 22, 2010
19. Key Enablers
• Open Data and Linked Online Data
• Advances in automatic content analysis
(linguistics, image processing)
• Computing power (Moore’s law +
MapReduce)
• Classical logic and classical AI
Monday, November 22, 2010
20. The technologies and data
are available,
let’s put them to use!
Monday, November 22, 2010
21. Semantic ECM
Metadata
Text
Sound Tags Entities
Image Relations
Video
Reasoning
Content Meaning
Monday, November 22, 2010
22. Goals for Semantic ECM
(& Nuxeo)
• Repurpose existing content
• Improve search and collaboration
• Make information contextual
• Extract and use information from your
content
• Make your content smarter!
Monday, November 22, 2010
23. Challenges
• Extract meaning from content
• Enrich content with knowledge
• Enhance interaction with content thanks to
added meaning
Monday, November 22, 2010
24. Business value
from semantic ECM
• Efficiency gains: 20% to 90% (ex: in
search, collaboration)
• Effectiveness gains: better returns from
your assets (ex: news and images from AFP)
• Strategic edge: growth, value capture,
new services, gain unfair strategic advantage
(ex: vertical ontologies for CEVAs / CCAs)
Monday, November 22, 2010
26. • Project under the french FUI program, with
9 partners, and a budget of 4.7 M€
• Goal: to develop algorithms and collaborative
tools for extracting knowledge from
unstructured documents and images
• Started in 2008, finishing in Dec. 2010, with
results already integrated as a Nuxeo plugin
Monday, November 22, 2010
27. • European project under the FP7, with 13
partners (6 SMEs) and a 8.5 M€ budget
• Goal: create a semantic software “stack” that
will be used by CMS vendors to add semantic
features to their products
• Started in Jan. 2009, will last until Dec. 2012
• First tangible result: FISE, already integrated
in a Nuxeo plugin
Monday, November 22, 2010
31. What is wrong with tags?
• Many terms for same meaning
• NYC, New York, New York City
• Many meanings for same terms
• Need context to remove any ambiguity
29
Monday, November 22, 2010
33. Tagging with Entities
• Global namespace / universal meaning context
• Interoperability across domains
• Interoperability across applications
31
Monday, November 22, 2010
34. Demo time!
Screencast online at http://blogs.nuxeo.com/dev
32
Monday, November 22, 2010
38. What is a semantic engine?
• Unstructured content => Knowledge
• Language guessing
• Topic classification (Business, Sports, Media, ...)
• Named Entities extraction and linking
• Relationships and properties extraction
36
Monday, November 22, 2010