cognitive assistants

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Cognitive Assistants of the SemanticWeb Assisted Cognition Raman Kannan Adjunct, MoT Tandon School of Engineering NYU [email protected]

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Page 1: Cognitive Assistants

Cognitive Assistants of the SemanticWebAssisted CognitionRaman KannanAdjunct, MoTTandon School of [email protected]

Page 2: Cognitive Assistants

The Human Brain, on one hand, is an active medium where we store data, detect relationships, connect them and synthesize higher order percepts, as needed and on demand. Connecting and leveraging information from multiple brains all at once is a challenge, even under the supervision of a master of brain-storming.The Internet, on the other hand, is vast federated data store, growing at a rate defying our abilities to make sense, necessarily, curated by multiple brains, all at once. This untapped data offers a lot of promise to enrich our lives, if only the relationship between the datacan be identified, connected, summarized and synthesized, just as our brain does.The vastness and observed growth rate demands that the process of identification and synthesis be automatic, withouthuman assistance for the most part. However, occasional and intermittent curation are desirable, as in wiki, but not required.

Page 3: Cognitive Assistants

Contextual HelpIllustration :Subway map – contextual help

Page 4: Cognitive Assistants

A: View of the NYC Subway

Page 5: Cognitive Assistants

B:another view of the world

Page 6: Cognitive Assistants

Choice is context sensitiveIf I were to ask you how far is Central Park North,Our brain would choose View A and say 11 stops on the line

If on the other hand if the question how to get to Museum of Natural History, our brain would choose B.Our goal is to construct a web service that can construct a context sensitive solution ...

Page 7: Cognitive Assistants

Visualization and comprehension helpCognitive assist

Illustration: AfricaIllustration: USA GDP

Page 8: Cognitive Assistants

Two experimentsSuppose I wish to know how big the US economy is, relative to world economyOrHow big is the continent of Africa in land area relative to other regions...

Information exists but not in a form that can answer this readily.It is in a form conducive to computing not reasoning or comprehension.

Page 9: Cognitive Assistants

Tabular and volumonous

Page 10: Cognitive Assistants

Wiki gives me accuracy, not comprehension

But it is tedious...This picture tells me USEconomy is

equal to the sum of 52 nation states.

Page 11: Cognitive Assistants

Africa – wiki again tedious table

Page 12: Cognitive Assistants

Visualized differently

Answer isobvious

Source:Private wealth magazine

Page 13: Cognitive Assistants

Visualization Specialized topic beyond charts and plots with lot of foundation relating to human cognition and how the mind/brain works Visual medium

70% of all the information we consume is visual

Page 14: Cognitive Assistants

Comprehension helpCognitive assist

Taxation in retirement and States

There is lot of information available over the internet, often confusingconflicting and overwhelmingWe could say so, for just about any topicIt has become impossible to find the information we needand in a form suitable for human consumption or comprehension in general

Make no mistake, this is all nothing but old wine in new bottle...starting from Bush-Memex(1950s), DARPA DICE (1980s), I-DAM/DISHA (1990s), DOOLLI and now cOgS.

Page 15: Cognitive Assistants

Deja vu

http://bluehawk.monmouth.edu/monmouth/academic/dna/weti96ff.htm

Page 16: Cognitive Assistants

Power of Information

http://bluehawk.monmouth.edu/monmouth/academic/dna/w3cf.html

Page 17: Cognitive Assistants

Requirements for cOgS

http://bluehawk.monmouth.edu/monmouth/academic/dna/w3cf.html

Page 18: Cognitive Assistants

steps to realization

Semantic Data Mining

WWW

Machine Learning

SemanticsComprehensionCognition

Page 19: Cognitive Assistants

PATHWAY to REALITY

Formatting/translation agents

Native

Unified Canonical Representation

CONTENT ANALYSERS

CONTEXT ANALYSERS

User Agents/Display Renderers

Advances in DSC+NLP+ML+KR

Marvin's Society

Page 20: Cognitive Assistants

Pie in the Sky? Or What? Does the world need it? If so what is it worth?

Getting a Grip on Data Sprawl Through Enterprise Indexing & Search, a whitepaper from virtualworks.com

Page 21: Cognitive Assistants

Thank youIBM POWER ACADEMIC INITIATIVENYU Tandon School Of Engineering –

• MoT program – Bharat Rao, Bohdan Hoshovsky• Tandon MoT MG7173 Students – since 2011

Tandon CS9223 and CS6083 Students -2015Professor Torsten Suel and Nasir Memon TandonProfessors Sumitra and Ramana Reddy – WVU, CERC-DICE 1988-1992Professor Jeff Parsons – Memorial UniversityCharlotte Walker, Jeff Lenker, & the Doolli TribeChad Mollekan, anycard.ca TribeDean Naik – Monmouth University, Software Engineering 94-1998EMBAG-2005 – Columbia Business School AluminiWilliam J. Sweeney, BillLabs, Class of Byron Nicas citi Tribe

for all your support and encouragement