from semantic platforms to semantic apps

From Semantic Platforms to Semantic Apps

Time to focus on creating the next generation of compelling semantic experience

By @scroisier

Email: scroisier@gmail.com

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

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• 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