semtech 2011 elsevier purediscovery
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Collaborative Innovation,
Collective Intelligence and
Scientific Data
SEMTECH 2011 8 June, 2011
Vishal GuptaElsevier [email protected]@Visha1Gupta
Dave [email protected]@iamDavo
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Technology is changing the way researchers work
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How many hours per week searching and
gathering information?
How many hours per week organizing, analyzing
and applying information?
Research more exciting but also more challenging
Researchers spend more time looking for information
than analyzing and applying it. Source: 2007 Survey by Outsell Inc. on 6,300 knowledge workers
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1.Openness
& Interoperability
2.Personalization
3.Collaboration
& Trusted views
Key web trends defining the future
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Access to APIs and the creation of an ecosystem that helps to:
facilitate data accessibility
extend the reach of content
build strong developer ecosystem
increase core base of users
develop new applications
drive innovation
Openness & Interoperability
“Give me your data, my way”
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Personalization
“Know who I am and what I want”
Deliver recommendations based on behaviors and what might be of interest to them.
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Collaboration & trusted views
“The right contacts at the right time”
Provide a professional networking platform for researchers and scientists.
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Traditional vs new application based ecosystem
In the new publishing ecosystem communities can share
applications the way they were doing with journal articles.
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Support from our partners
Source: www.kurzweilai.net/new-application-allows-scientists-easy-access-to-important-government-data
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Trusted Content• Content repositories containing 25% of the world's science, technology
and medical publications• Open APIs and Bulk Content
Platform to Create Apps•Infrastructure to host/expose your product•Web based apps integrated into users’ workflows (Shindig – Open Social)•Feedback and metrics
What value does it bring to the Developers?
Platform to Promote and sell apps• Exposure to a large user base- 10,000 institutions and 15m researchers• Brand recognition• Monetization opportunities with end users, institutions and companies
A new ecosystem to foster collaboration• Collaboration with researchers and other developers• Customer partnerships• Online blogs, forums and idea exchange
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Trusted Content
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An interdisciplinary journal
based on research and
applications of various
subject areas that contribute
to the development of a
knowledge-intensive and
intelligent service web.
Journal of web semantics
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2nd edition
Bestselling practitioner’s guide to the
semantic web
Includes latest developments for building
useful and reusable models and
applications
Dean Allemang, TopQuadrant Inc. &
Prof James Hendler, Rensselaer Polytechnic InstituteISBN: 9780123859655
June 2011
http://mkp.com
Semantic web for the Working Oncologist
“Through simple modeling and case studies, the
authors show how stranded data is connected,
thus increasing its value.”
Philip Bane, President, Renomics Corporation
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The SciVerse product suite
Leading full-text scientific database offering journal articles
and books. Providing access to 15m users
Content
11million trusted full-text articles
15 million eBooks
User base
15 million unique users per month
10,000 top global institutions
Science Direct
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The SciVerse product suite
15 MILLION UNIQUE USERS
PER MONTH
10,000TOP GLOBAL
INSTITUTIONS
Largest abstract and citation database of peer-reviewed
literature – with a global audience
Content
41million records
70% records with abstracts
70% content from international
sources
User base
800k unique users per month
Scopus
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The SciVerse product suite
SciVerse Hub integrates Elsevier content platforms and
is optimized for application development.
Content
Access ScienceDirect, Scopus &
trusted web content with just one
click
Interoperable suite with de
duplication and relevant ranking
Features
Use applications on SciVerse Hub
integrated content
SciVerse Hub
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Platform to create,
promote and sell apps
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Apps are at the core of this new interoperable platform
ScienceDirect
Web/Third Party Content
Scopus
SciTopics
APPAPP
APP
APPAPP
APP
APPAPP
APPAPP
APP
APP
10 MILLION FULL TEXT ARTICLES
15 THOUSANDE-BOOKS
41 MILLIONABSTRACTS
PAGESWRITTEN BY SCIENTIFIC
EXPERTS ONLY18 INSTITUTIONSINTL. REPOSITORY
23 MILLIONPATENT FILES
300 MILLIONWEB PAGES
13 SOURCESSOCIETY
SHARE YOUR KNOWLEDGE AND LEARN FROM
OTHERS
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Customers, Content and Infrastructure
Customers for usage branding and monetization
High quality STM content
Infrastructure to store, retrieve and expose your product
http://applications.sciverse.com
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Applications integrated in
the user workflow
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Integration Points
Integration points appear across the product suite, aiding
discoverability and enriching content.
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App integrated on the Scopus abstract s page
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Quantifind app integrated at record level in SciVerse Hub
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Stanford ODiSSea App integrated on SciVerse Hub
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Apps on the platform targeted to researcher workflow
Collaborate
Search
Manage
Analyze
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The SciVerse developer
network A new ecosystem to foster
collaboration
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Collaboration with other developers & with the research
community
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Elsevier is facilitating collaboration in the community
http://developer.sciverse.com
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Our goal: building trusted partnerships
Elsevier is working with leading global institutions to partner
and showcase their work to SciVerse users.
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we are the creators of the
BrainSpace™.
the semantic technology that
forms an architecture for a
smarter, more connected
planet.
PureDiscovery
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PureDiscovery
BrainSpace App on SciVerse:
Accelerating Innovation and
Collaboration through the
Semantic Discovery
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The Problem: Search is Broken
Transactional keyword search is dying and
PureDiscovery will help kill it.
It is the contextual
Linking of the concepts, thoughts and ideas
contained in documents that creates meaning
in the world.
It is the relationships that people
have with these things that will accelerate
Innovation and lead to new discoveries.
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The entire industry can be
represented by one symbol
The Problem: Semantic Search Is an
Enigma
•No Scale
•Locked intelligences
•Silo’d indexes
•Highly complex
•Hard to useBlack Box
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The Current State of Information
We create multiple search indexes
Internal Indexes
Co
rpo
rate
1
Co
rpo
rate
2
Co
rpo
rate
3
Nat’l Labs Indexes
Lo
s A
lam
os
Arg
on
ne
Sa
nd
ia
UniversitiesH
arv
ard
Ya
le
Un
iv o
f C
al
Web Indexes
Go
ogle
Ya
ho
o!
Ale
xa
We index them with different search languages from
different vendors.We maintain each index as a separate, disconnected silo
There is currently no technology
that connects people, interests
and knowledge
We ignore the collective intelligence that exists in
our combined document repositories.
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PureDiscovery…
We do two things better than anyone in the
world:
(1) We transform any organization’s static
documents into a semantic intelligence
that can
(2) be used by anyone to intelligently
access people and information related
to their interests.
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Our Approach: Creating the ScienceDirect
BrainSpace
(1) Source Documents.documents are the sourcedocuments for the collectiveknowledge.
Documents (Each research area could be transformed into a PD
BrainSpace)
(4) Build BrainSpace. Wetransform each optimizedcluster into a PD Brain. A multi-dimensional semantic spacewith a human like intelligence.
(2) Cluster. We clusterdocuments. PD ’ s clusteringengine automatically clustersover 40 million pages a day intolike categories.
FinancePhysics
Astronomy
Social
Science
Health
ScienceLife
SciencePhysical
Science
Business
Mngmnt
(5) Brain Selection. PDClassification engine is layeredover the BrainSpace and selectsthe best Brain to injectintelligence into each userquery.
Query
“Organic
Nano
techniques”
(3) Optimize. We optimize
each cluster with unique
methods that remove noise
and duplicate documents.
FinancePhysics
Astronomy
Social
Science
Health
ScienceLife
SciencePhysical
Science
Business
Mngmnt
Pu
blis
hers
Jo
urn
als
Bo
oks
Ma
ga
zin
es
Pe
rio
dic
als
Refe
rence
On
line
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The BrainSpace Application: Universal
Access
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The BrainSpace Application: QueryCloud
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The BrainSpace Application: Transparency
and Control
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The BrainSpace Application: Results
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The BrainSpace Application: Inference
(Checking our inferred words)
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Whats Next: Visual Interfaces
See the entire document space
Zoom in to visually navigate the clusters...
...and even closer to see
sub categories.
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Whats Next: Socialization of KnowledgeA Disruptive Shift Towards Who Knows What
The knowledge Management era, dominated by document-centered retrieval
and transactional keyword search, is over. A disruptive shift in the market
occurred with the advent of social networks and continues to evolve today
under the new rules of the emerging semantic web:
We Are What We Know: Knowledge is social. It is created by people,
collaborated on by people and shared by people. “Who Knows What” will
be the driving force of the new knowledge economy.There is Power In All of Us: Knowledge is everywhere and as we harness
our Collective Intelligence we enhance our ability to pool knowledge,
collaborate through research and discover new innovations. Through this
collective and collaborative process we refine our understanding of the
world.Meaning Matters: Keywords are not knowledge. Looking between words to
better understand meaning of documents or posts -regardless of what
*keywords* are being used.
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BrainSpaceBy PureDiscovery
Its sort of like Match.com for
big thoughts and ideas...
How can I extract
oil out of frozen
water?
Cracking ice and
submerging it?
separates the ice from
the pollutant!
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on ScienceDirect
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Thank you for listening.