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Solving the Semantic Data issue

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by brainwavelive

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White attempting to peek and poke data, application to really come of age and tackle intricate data relationship management, needs an universal data repository. This universal data bank as is stated by Tim Burners-Lee in their 1998 manifesto, is the first step to create machine capable of reasoning.

But due to lack of a fundamental unit that is capable of handling data that evolves over time and space, relationships that exist between data cannot be exploited for better decision making or reasoning.

So, for example, when I meet you for the first time I say 'Hello', the second time I say 'Hi', the third time may be a 'nodding head' with 'hey'. Note all these three 'memes' are basically referring the same thing 'recognition' but has actually evolved cause the relationship evolved. The question is could we create something that can actually handle this?

'Meme' being the fundamental unit of cultural evolution, much like genes can be defined as that fundamental unit to handle evolving data.The Brainwave Platform that comes with a Neural database is an attempt to create a universal data repository. It may be an answer towards solving the semantic data relationships.

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by tony hopkinson

The first time I meet you.
Wary look, and ambiguous nod.
Second time, Politely tell you to get out of my face.
Third time kick it in.

So how do you distingush between the scenario you described.

Did we both understand I was serious at the 2nd meeting ?

Did we both understand how serious.

Why did it go wrong?

Note any investigation of relationship between two complex interactors, that uses reductionist principles, doomed.

by brainwavelive

Unless you express yourself in words, your facial or behavioral attitude does not say your thoughts clearly. This is not only true with 'dumb systems' but also with friends, relatives and other 'social beings'!

A data that actually evolves and takes different forms and is consumed by different people in different perspectives can be stored and understood by systems that are 'intelligent'. Obviously no one can claim that he has built such a system, else at this point of time wall street would have invented a machine that could extrapolate stock patterns.

Unless you query yourself or for that matter any database, you cannot arrive at any conclusion that could give you a reason as to 'why did it go wrong'. However, when you query, the answer to this may not be accurate if you query a relation based information network, that has predefined 'schema' on it. Whereas in a mesh of data network, if you query; the correctness of answer is more than the relational model could offer you.

'Expression of gestures or Sema' and 'interpretation' are two different things but related. While trying to understand the same there are a lot of interdisciplinary studies. The Brainwave Platform is just an attempt to take a route to understand the above and may be potential. It is you who will decide its potentiality, scalability. May be for certain kind of enterprise applications The Brainwave Platform is suitable.

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