the future of research - how question answering technology like ibm watson will change the way you...
DESCRIPTION
IBM’s super-computer, Watson, and the Question & Answering technology behind it captivated millions when Watson beat out reigning champions on the popular TV game show Jeopardy!. Now, many are pondering the possible applications of Question & Answering technology. Anyone who has ever used conventional search technologies knows what an arduous task research can be (hours spent chasing dead-ends and resulting in redundancy and rework). Consider what a powerful research tool – one that retrieves precise answers to your questions – would enable you to do. The possibilities are endless... The good news? This powerful research technology is commercially available today as a purpose-built solution for driving innovation in product design and manufacturing - helping organizations increase productivity, raise R&D returns, and accelerate innovation.TRANSCRIPT
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The Future of Research: How Question Answering Technology Like
IBM Watson® Will Change the Way You Innovate
Agenda
Introduction
The End of Search
Beyond Search: Question Answering
The Future of Research: Deep Semantics
Knowledge Enabling Innovation
Q&A
THE END OF SEARCH.
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THE END OF SEARCH
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In the last years,
the world has produced
more research data than
has been created in
all of human history.
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Traditional Search No Longer Effective…
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The Failure of Search
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IDC estimates that an enterprise employing 1,000
knowledge workers wastes at least $2.5 to $3.5
million per year:
searching for nonexistent information
failing to find existing information
recreating information that can’t be found
The opportunity cost to the enterprise
is even greater.
Search is Dead
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BEYOND SEARCH:
QUESTION ANSWERING
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BEYOND SEARCH:
QUESTION ANSWERING
What is Watson?
A QUESTION ANSWERING
TECHNOLOGY BUILT TO PLAY
JEOPARDY!
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IBM Watson®
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Watson Powered by ‘Deep QA’
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Source: http://laplacian.files.wordpress.com/2011/02/watson-overview.png
Primary
Search
Candidate
Answer
Generation
Supporting
Evidence
Retrieval
Deep
Evidence
Scoring
Question
Analysis Query
Decomposition
Hypothesis
Generation
Soft
Filtering
Hypothesis &
Evidence Scoring
Answer
Sources Evidence
Sources Question
Answer &
Confidence
Hypothesis
Generation Soft
Filtering
Hypothesis
& Evidence
Scoring
Synthesis Final Merging
& Ranking
Trained
Models
Answering Questions
“We’re interested in helping businesses get to
the bottom of problems and answer questions
they run into to improve the quality of their
products and services, and enhance loyalty
and increase revenue”.
- Steven Mills
Senior VP & Group Executive of Software & Systems
IBM
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The Deep QA Approach
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While IMB Watson’s Deep QA represents an important class
of technologies, it was designed as a Jeopardy-playing
machine and is:
NOT commercially available today
NOT easily deployed - with 90 Servers and over 2800
cores
NOT a practical application – particularly for innovation
workers who need precise answers to questions – now!
THE FUTURE OF RESEARCH.
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THE FUTURE OF RESEARCH:
DEEP SEMANTICS
The Deep Semantics Approach
Finds, extracts & organizes relevant solutions based on deep linguistic analysis
Helps users explore problems & solutions by mapping the intent of the user to informational concept classifications such as:
• causes and effects
• advantages & disadvantages
• applications
• components & parameters
Unlocks value hidden in internal & external content to speed discovery & decision-making
Powers breakthrough research by delivering highly relevant answers & insights
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Features of a Deep Semantic Question
Answering System
Deep linguistic analysis to extract atoms of meaning from text
Reassembly of atoms of meaning to synthesize higher order conceptual informational content
Automatic classification of questions
Dual search scoring:
• Semantic fit
• Concept/question classification
Cross-language semantic concept search
Dynamic selection of answer presentation based on user intent
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Deep Web Academic
Publications
The Deep Semantics Approach
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Searcher
Answer
Linguistic
Knowledge Base
Answer Ranker
Text Synthesizer
Labeled Text
Documents
Database
Preformatter
Linguistic Analyzer
Text Documents
Labeler
Linguistic Analyzer
Question Labeler
Question
Worldwide
Patents Enterprise
Content
DEEP SEMANTICS KNOWLEDGE
ENABLES INNOVATION.
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DEEP SEMANTICS KNOWLEDGE
ENABLES INNOVATION
Please click here to access to full
presentation deck, as well as the
on-demand replay of the webinar:
http://InventionMachine.com/access-the-
webcast-replay-future-of-research/
