from semantic platforms to semantic apps
DESCRIPTION
Keynote presentation from Stephane Croisier at the July 11 IKS Workshop on moving from semantic platforms to semantic applicationsTRANSCRIPT
From Semantic Platforms to Semantic Apps
Time to focus on creating the next generation of compelling semantic experience
By @scroisier
Email: [email protected]
Sponsored by
I – 2011 Trends
Massive Explosion of Raw Unstructured Content
What is changing over the last years?
Email Explosion
Document Explosion
Social Content Explosion
And now it *REALLY* starts to impact all of us
“80% of data is unstructured, doubling every month”
“The volume of information flowing through organizations grows by 200% per year”
“Fortune 1000 stands to waste at least $2.5 billion per year due to an inability to locate and retrieve information”
“68% of employees recognize that it is difficult and time consuming to find information needed to do their job.”
Infoglut’s syndroms
Procrastination
Unefficiencies
Overwhelming
Frustration
Have we reached an inflection point?
Are we assisting to a Search and Information Access Revival?
System of Record System of Engagement
Command & Control
Transaction-oriented
Data-centric
Security is a key issue
Collaborative
Interaction-oriented
User-centric
Privacy is a key issue
System of Access
Curate & Filter
Link-oriented
Reference-centric
Consistency/Relevancy is a key issue
Web 1.0 Web 2.0 Web 3.0
Social Information AccessContent Lifecycle
II – Problems
Semantic
Cloud SocialMobility
CMS
Where are we in 2011?
Unlikely Match?
Semantics means too many different things for too many people
The One Week Reality Check
Monday / Technical Fragmentation
“As of today, there are probably as
many architectures as there are vendors
in the domain. ”
Dr Mario Lenz
Tuesday / Market Opacity
“Expect consolidation, in a
market with over 50 players, the exact
solution for a given business problem
might be a moving target for some time
yet.”
John Harney- KMWorld
Wednesday / Complexity
“Any practical feedback on LSH
with Random Projections vs LSH with MinHash for text clustering /
duplication detection?”
Tweet from Olivier Grisel
Nuxeo
© Billy Cripe
Most semantic technologies are still only available in English
Thursday / Lack of Multilanguage Readiness
“Full Multingual Search: Holy Grail and still in a
distant future.”
Prof. Dr. Stefan Gradmann about the
«Europeana» project - 2009
Friday / Scalability Issues
“The systems that do that today are
slow and clunky and don’t scale to the kinds of data sets
we do with – they’re not good for 150
million messages a day.”
Nova Spivack
Saturday / Fanatism
“A world of exhaustive, reliable metadata
would be a utopia. It's also a pipe-dream,
founded on self-delusion, nerd hubris
and hysterically inflated market opportunities. ”
Cory Doctorow
Overselling Sunday / Vendor Overselling
Overexpectations Overpromises
“You can invest a lot and not get
any return.”
Scott Brinker(in Top 10 reasons the
Semantic Web is a lot like love)
We are still at this stage
When we all expected to be already here
Lots of promises
But move more slowly than expected
Semantic cost+complexity vs user centered added value is still a too foggy story
Practical short-time client deliverables are still confused
Level of skills required prevent widespread adoption
Problems being solved are too theorical
III–From Semantic PlatformsTo Semantic Apps
Semantic Platforms vs Semantic Apps
RESTful API
RDF/OWL
Natural Language Processing
Latent Semantic Analysis
Dynamic Landing Pages
Smart Email Capabilities
Entities
Tripples
Data Schema
Related Content Widget
Ontologies
Personalized Content Feeds
Contextual Content Discovery Plug-ins
Enhanced Search Experience
Ads Targetting
From the Geek to the Practitioner
To a larger paradigm?
From a monocultural stack
Semantics
Text MiningSemantic Web Information Retrieval
Machine Learning
ComputationalLinguistics
interoperabilitylanguage analytics statistics search
Web2.0
community
Social Network Analysis
graphs / networks
How technical research areas are approaching text and semantics?
© Marko Grobelnik – Jozef Stefan Institute
How do I approach Semantics?
Content & Data Interoperability
Content IntelligenceMiddleware
Smart Content Apps
NLP
Con
tent
Int
ellig
enc
eM
iddl
ewar
eD
ata
In
tero
pera
bilit
yS
mar
tF
eatu
res
Dynamic Topical Pages
Smart SEO/Ads Personalized Content Delivery
Intelligent Search
Protocol
VectorSpaceModels
User interfaces and applications
Trust
Proof
Unifying Logic
Ontologies:OWL
Rules:RIF/SWRL
Cryp
tography
Taxonomies: RDFS
Data Interchange
Syntax
RDF
CSV
EDI
XML JSONTXT
REST SOAP
IdentifierURI PATH
Character SetUNICODE BINARY
QueryingSPARQLSQL
InvertedKeyword
Index
XPATH
CMIS
WEBDAV SMTP
SocialIntelligence
BusinessIntelligence
PersistanceSQL DB NoSQL DB Tripple Store
CMIS
Etc.
Content & Data Interoperability
RDFa
What is seeing currently the most use
Big Data
Think Massive Volumes / Lots of Format
“RDF might be a very good choice for how to make that available,
but it can’t be a religious choice. We have to look at the problem specifically
and ask how does RDF or XML or anything else
map to it. We’d consider it as a tool in
our toolbox.”Nova Spivack
“The infrastructure needs of intelligent
systems are now being met by a combination
of Semantic Web, Linked Data, Web Services and Rule-based systems.”
Jim Hendler - RPI
Job in progress.
Content IntelligenceMiddleware
Why the « Intelligence » layer does not take off?
Most usage are still more « expert » systems than generic solutions
“Ontology is Overrated!”
Clay Shirky - 2005
The Ontology Story is still confused
The «smart» section of the Semantic Web: only a fraction of the whole story?
`
Emergence of a new « Content Intelligence » industry
Social and Behavioural Intelligence
Content Intelligence
Business Intelligence
At the intersection of Enteprise Search, BI, Analytics, Social and Content Management
Embracing the promise of turning any raw data into smart content
An Infinite Complexity Problem?
Text Mining
Content Analytics
Automated Information Clustering
Rule-based classificationNatural Language Processing
Content Enrichment
Connections to Linked Data Repo
The All-Purposed Platform Issue
Intellectually satisfying, concretely feasible?
Content Intelligence Middleware: To be or not to be?
Only one certainty: Think « Smart Inside » rather than simply « Semantic Web Ready »
Smart Content Apps
And finally why are we implementing this whole stack?
Main Challenge: Finding the next Semantic Killer App
“10+ years into its inception,
Semantic Web still has no clear killer app. It’s not clear
if or when that app will emerge.”
James Kobielus Forrester Group
“User Interfaces for Semantic Web:Do They Have to
Be Ugly?”
Andraz Tori, Zemanta –
SemTech 2010
Never that any more!
“Let’s get serious about user experience design.
It means utilizing your best engineers for more than just coding. “
Marty Cagan
Refocus on enabling the next Semantic Experience
Emotional
Addictive
Fun-to-use
Pleasurable Contextual
User-centered
“Somehow, I repeatedly run into a situation where
some use of Semantic Web technologies that
would make a nice end-user application is
blocked by the fact that the user interface is the
real challenge.”
Ora Lassila - 2007
Sta
t so
urce
: G
ut-f
eelin
g of
Ste
phan
e C
rois
ier
Amounts invested in Semantic UX vs Semantic Tech
Multidiciplinary Team Needed
Semantic Jedi
Market Lurker and Sniffer
UX Guru
Content Management Hero
Big Data Rock Star
Polyglot Analytics Ninja
IV – Smart CMS
Matching Semantic Technologies
with Information Lifecycle and User Experience
A few Semantic User Stories braught to you by
Ongoing Internal R&D Efforts
How to empower a CMS…
… by bringing new semantic value added?
1Analyze your Information DNA
Let the user better know about your content assets
Keywords Concepts Tags Categories
Automatically enrich your unstructured content
Content Enhancements
Automatically enrich your unstructured content
Entity Extraction
Auto-Classification(Common Tags / Concepts / Categories)
Or provide semi-automated guidance for editors
Search EngineEnhancements
Let the user find rather than search
2
Search Enhancements &Automated SEO calibration
Dynamic Navigations
Let the user explore instead of searching
3
Drill-down, Filter and Mine into your information universe
Semantic Navigation Components
Dynamic Glossary
URL-Friendly Topical Landing Pages
ConceptualMatch
Let the user find what he wants, not type
4
Get the needles out of the haystack without typing
Conceptual Match
Get rid of keywords limitations
Enhanced Search Box
Liquid InformationDiscovery
Let the user stick on your site
5
In-Context Content Discovery
Contextual Access to Public or Private Facing Linked Data Repositories
Discovery engine to similar Content in pre-selected Content Stores
« It’s like Augmented Reality for browsing the web. »
Marshall Kirkpatrick, RWW
Semantic Intertextualities
Ambiant FindabilityLet the user come back to your site
6
Contextual Similarities
Access to the information your need right from within your context of use
Surface the bestAutomatically learn from users and provides a personalized experience
7
Content Recommendations/Predictions according to YOUR interests
Surface the Best
Let the user favourite, subscribe or « like » items
To auto-populate its own information DNA
And automatically get new articles similar to your interests…
Curate the rest Let users create and share their own Search-based Application
8
Fast Growth of Semantic-ready and Search-focused Micro-Sites
After the explosion of Blog, Wiki and Activity Streams, the rise of Curated Search Spaces?
( Standardized Data Interop layer+ Content Intelligence Middleware+ Smart Features)x Compelling User Experience _______________________Smart Content Apps for Tomorrow
Conclusion
Thanks for watching
Information
• Most images from www.flickr.com (Image & licensing info in the notes section of slides)
• Presentation licensed: Creative Commons BY-NC-SA
• The presentation can be downloaded from: www.slideshare.net/scroisier
• More information about me: http://www.linkedin.com/in/scroisier