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HyperPlex High-Precision Query-Response Knowledge Repository © Hyper Realm Consulting 2000-2010 © kenablersys 2010, to 2014 All rights reserved.
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HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Sep 11, 2014

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A good source of knowledge should be able to provide RELEVANT, up-to-minute, and authentic High Precision Answers to QUERIES. For that a High-Precision QUERY-RESPONSE facility is crucial.

Of course the knowledge also must be stored with equally High-Precision in machine -processable form. For that a high precision knowledge authoring which is different from "creating text" is necessary.

Both the above facilities are available in HyperPlex.

Now you can get precise and valid answers to questions like: How is A different from B and Why? When and Why is P mistaken as Q? How to detect and correct?

This goes beyond what KIF, RDF, UNL have come up with so far. Join us to complete HyperPlex and DEPLOY IT.
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Page 1: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

HyperPlexHigh-Precision Query-Response

Knowledge Repository

© Hyper Realm Consulting 2000-2010 © kenablersys 2010, to 2014 All rights reserved.

Page 2: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

WE Information / Knowledge Seekers

Want answers to Our questions or queries

For that we need a good query facility

For PDF version click the link below

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Knowledge Seekers

http://www.slideshare.net/putchavn/hyper-plex-high-precision-knowledge-authoring-queryresponse-system-06mar13

Page 3: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Kinds of Queries

Are many and

The expected responses are also many

Here we are considering queries that are:

Serious,

Precise,

Complex,

deep!

Like..

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 4: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Typical Questions

1. Is Washington a city,

state, university,

person or an object?

2. How is electrical

current different

from voltage?

3. Since convex lenses are used

for sight correction in

presbyopia and hyperopia

are they the same? If NOT,

what is the difference and

why does it arise?

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 5: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

More Questions & Expectations

How is A different form B &

Why?

What is the cause of X and

what are the conditions for X

to occur or NOT to occur?

What is NOT P but may be

mistaken as P and Why?

Attributes of Answers

Precise

Relevant,

Latest and

Correct / Authentic

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 6: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

So what we need is:

A dynamic knowledge builder cum server or repository with

A High-Precision Query Facility

Giving Answers with specific attributes

HyperPlex (c) 2000-2014 All rights reserved

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Let’s see what we have

04 JAN 14

Q & A

Page 7: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

What or Who has the capability we need?

1. Books &

Libraries?Books just have text and graphics

2. Human

Experts?

Humans, YES they have knowledge and

interactive capability to deliver responses

3. Search

Engines?

So far, these are like 1 but are improving

with Semantic Web Technologies

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 8: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Books & Libraries?

The seeker

has to be a

skilled

scholar

To find right

information

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Yes, they served us well, But we had to work hard

Page 9: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Human Experts?

Professors,

Consultants,

Doctors,

Lawyers

Experts

Yes, they have knowledge

So far the best to deliver answers to queries

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 10: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Query Elicitation by Human Experts

Good at finding out

What the information seeker is looking for

With minimum probing

In natural languages / body language

Then they present

Most relevant units of information

Closely matching the needs of information seeker

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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But this may NOT be true

with every human expert &

it may NOT uniform

Page 11: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Unfortunately…

Human Experts are

Not many

Even those few are not accessible

When one needs

Particularly to the millions of

information seekers

They are growing, as are topics

Alternatives?

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 12: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Computers, Portals, & Search Engines?

Google, Bing,

Wolfram Alpha,

Information

Retrieval

Systems

Recognize only the letters of a word and process them (coarsely)

Their meaning is NOT addressed

Subjectively useful to SKILLED users

Statistics determine Relevance, Precision & Reliability of hits---NOT meaning of queries

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 13: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

The problem is with MEANING

Meaning is too complex

Five factors are involved

Machines, including software,

cannot address

Many aspects of meaning

Even approximately

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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See the PPT Semantic Web: The Need, Basics and Benefits

Page 14: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Certain aspects of MEANING can be

Something more

meaningful can still

be done

HyperPlex can

precisely answer the

typical queries

considered

Dealt with mechanically

That is, without human or artificial intelligence or understanding

That’s the scope of Semantic Web, RDF, OWL or UNL

But they have NOT done much

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 15: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Words seen as just strings of letters

Most search engines have

Single field for query &

No way to qualify query terms

Terms like “Of, From, By, when”

are ignored

Only occurrences of words are

considered

Synonyms, or

equivalents are

NOT recognized

No aspects of

meaning of words

are addressed

HyperPlex (c) 2000-2014 All rights reserved

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04 JAN 14

Page 16: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Too many hits of uncertain relevance

Search Engines give far

too many responses

Relevance ranking

criteria are

Not open & cannot be

defined by the user

Search results could be

irrelevant & misleading

Information seeker needs

To personally search again

To find relevant response

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 17: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Single Field for query

1. Most search engines JUST provide a single field for query

2. Most Information Seekers CAN GIVE supplementary information to make their queries precise

3. But most search engines don’t accept 2 &

4. Can’t use that additional information

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Query: ________________________________

Advanced Search

exists but is not

good enough

Page 18: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Semantic Web, KIF, RDF, OWLUniversal Network Language UNL

Have recognized the need

for dealing with meaning

Though they cannot capture

full significance of meaning

They promise meaning

centric applications

World Wide Web standards exist since 2000, 2004, 2011

Let’s see recent

Top Semantic Web applications

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 19: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Top Semantic Web Applications

The latest available for 2010 at http://readwrite.com/2010/12/29/top_10_se

mantic_web_products_of_2010#awesm=~oqQ9

9xQoEriPqg

No products with

High-precision knowledge

encoding & query response

Meaning is central to

Queries & Relevant

Responses

Now machines can

mechanically make

sense of

Suitably encoded

knowledge / content

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 20: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Winners of 2013 Sem Web Challenge

http://www.elsevier.com/about/press-releases/science-and-technology/winners-of-the-2013-semantic-web-challenge-announced-at-the-international-semantic-web-conference-held-in-sydney

Indicate that

Proposed HyperPlex has identified

A critical gap in Semantic Web & is

Filling it

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 21: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

A Superior Possibility: HyperPlex

HyperPlex is a

High-Precision

Query-Response

Knowledge Repository

Feasible & viable

We know & understand meaning

HyperPlex DOES NOT claim to Know or understand meaning

But it structures & parameterizes knowledge sufficiently

To make sense of queries & giveprecise meaningful answers

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 22: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Precise Answers can only come from,

Precise Queries

So, HyperPlex has a

facility for

High-Precision Query

formulation

But that’s NOT all

The encoded knowledge

Must be fine-grained &

Must have the same

Knowledge structures &

Parameters of precision

Used in query

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 23: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

HyperPlex builds on RDF

HyperPlex uses Subject-Predicate-Object Structure of

knowledge representation of

RDF--Resource Description Framework

It is suitable but NOT sufficient

So, HyperPlex has added

Knowledge types & parameters

HyperPlex Goes beyond RDF to add

Expressive power &

Precision to

Encoded Knowledge

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 24: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Knowledge Structures & Parameters of Precision

Each of Subject, Predicate & Object of RDF

Needs machine readable Typing (category) &

Special microstructures (meta tags) for each type

HyperPlex has added them

To encode & process meaning with precision

Still HyperPlex does not claim to

know or understand

meaning

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 25: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

HyperPlex

A Software Suite for K Building &

Delivery

HyperPlex is about High-Precision Q&A

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Data & Information

Query

Knowledge

Seekers

Query Dialog Box

Auto-

Complete

Page 26: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

One + Three Field Query

Struggled with typical search engines and

added what they lack

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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1+3 Field Query Box

Gen

Sub Pred Obj

High-Precisioncomes from

One General + 3 Special Fields

Page 27: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

High-Precision 1+3 Field Query

Gen: A common field

Subject, Predicate & Object

3 special fields for -- RDF Triple

As you fill-in Gen, HyperPlex Auto-completes the other 3

Typing + microstructures of S, P & O help matching & drilling down to more details

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Gen

Sub Pred Obj

Page 28: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

1+3 Field Query BoxGen

Sub Pred Obj

Rapid Shortlisting of Subject Predicate & Object Options

Query & Response are interleaved

Response is refined by choosing auto-completed options of different fields

The parameters are many & fine-grained

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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HyperPlex

Shortlist of more relevant & precise options

Field

parameters

Page 29: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

High-Precision Knowledge Authoring

Text, graphics, video & speech in

computers IS NOT Knowledge

Not machine

processable

That content has to be rewritten more

finely for machine processing

Knowledge

Authoring

Then high-precision Query & Response

are possibleThe need

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 30: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

RDF & UNL Also Represent Knowledge

1.But NOT with sufficient precision in our humble opinion

2.

HyperPlex

has

Special typing & micro-

structures for That is our IP.

We can license it

High-Precision encoding of

knowledgeSemi automated

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 31: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Meaning & Understanding of text

There are many meanings of these words but no agreement on them

Understanding is a human ability to act on the meaning of text

It is out side the scope of machines and software

We consider a restricted

meaning of meaning for

humans & machines

Well-formulated text

prompts certain actions

Such action is the

meaning of that text

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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See the PPT Semantic Web: The Need, Basics and Benefits

Page 32: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Restricted meaning of meaning is used

1. In Semantic Web, RDF,

UNL etc.,

2. And also in HyperPlex

3. In both cases the S-P-O

structure & meta tags

4. Represent knowledge

5. There are defined ways

of acting on 3

HyperPlex has many types of

Subject, Predicate & Object

And each has many parameters

So, it is possible to encode

many details of knowledge in

machine readable form

And get precise response

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 33: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

HyperPlex Summary

1. High Precision Q-R

Query-Response is the

key

2. 1+3 FQ is something

special and unique

3. High-precision encoding

or Authoring of

knowledge is the

foundation for the Q-R

4. Special Structures and

Micro-structures make

this possible

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Page 34: HyperPlex --- High Precision Query-Response Knowledge Repository PDF

Status and Plans

Claim: An improvement over Protégé

and Google, Yahoo in precision &

relevance --- ckeck it out

HyperPlex is the intellectual property

of joint project partners

Non-exclusively licensed

It is under implementation

04 JAN 14HyperPlex (c) 2000-2014 All rights reserved

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Think

Confidential Information

will be disclosed under

non-disclosure agreement

Let’s Talk