Data and Information



Pavel Císař, IBPhoenix

Firebird Conference 2012, Luxenbourg


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Phase I.

Houston, we have a problem.

What problems we face

Information encoding and semantic context

But problem remains

Despite some successes, the problem is still not satisfactorily resolved. We just manage to barely keep up.

And by all signs, it will not be resolved anytime soon.

WHY?

The nature of failure

On what assumptions we build ALL our solutions

General definition of Information

The information is the result of processing, retrieval, manipulation and organization of data in such a way that enhances knowledge of recipient.

General assumption

Data < Information < Knowledge

But does this inequality really applies?
It depends on answer to single question: What really is The Information?

Information as a concept

Question for 100 billion Euro

What really is the bloody Information?

Let assume that Information is a structure

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Let assume that Information is an integral part of Universe


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Information is like fractals

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An example of vertical integration


Information is always encoded

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Information is always encoded...

...and context plays a key role.

Information is in constant motion

The basic property of the Universe is change, and Information is the carrier.

Life is built on information processing



Living organism is an information structure that's converting energy to replicate, maintain, encode, decode, process and increase information.

What is data ?

The data are information coded (materialized) in specific context.

Conclusion

Information == Data

Specific features of data

Knowledge

Knowledge is the result of the integration of information into a primary information.

I.e. possible outcome of spontaneous interaction of compatible data.

Welcome to Information Physics

A new field of science that seeks a deeper connection with the fundamental laws of physics with laws for information and probability.

Is closely related to many areas of modern science, such as information geometry, quantum computers, bioinformatics and information theory of brain, chaos theory, evolutionary theory, but also as number theory and mathematical logic, interpretative problems in quantum mechanics and statistical physics, some cosmology questions, etc.

Information physics is promising for building a unified theory, which in addition to the synthesis of various areas of theoretical physics offers a number of overlaps with other areas. It is therefore a form of so-called "theory of everything".

Phase II.

Blood and bloody ashes.

Does it changed anything for us?

Problem areas of automation (as we know it)

Practical examples

Problem areas of automation (new directions)

Paramount importance of standard for description of semantic context.

Expected iminent changes

Phase III.

Reborn from the ashes.

Firebird

Time to think about what to do next after v3 release.

The Proposal

Questions?

Pavel Císař
pcisar@ibphoenix.cz
IBPhoenix
www.ibphoenix.com