Personal Big Data

Neurologists talk about semantic memory and use algorithms. It is about semantics and also brain scanners.
If we were to process a person’s library, the things they read or write, etc., we could study what correlations there are between their readings and what they write. We would have personal Big Data for private use.
We could then put those correlations into a word processor customized for that person.

I would like, for example, to process the Linkgua catalogue in this way.

Our knowledge is semantic memory, personal Big data, a corpus of canonical information on various topics, not just literary. With key concepts connected to each other and those connections can be represented by knowledge graphs.

Neurologists also talk about episodic memory, composed of our vital memories.
However, the conceptual relationship between our memories, that is: the “index” of the things we have lived or the things we think, is managed through semantic memory.

Today it is relatively simple to do a brain scan and see which parts of the brain are activated when we think according to what things. Elon Musk wants to go further with Neuralink and its brain analysis tools.

The structure of these connections is very similar to that of semantic algorithms.

For example, in the case of Alzheimer’s treatment, the deterioration of brain connections could be slowed down. That is, a human brain could be assisted by copying its associative processes with a computer and helping it, using electrodes, to recover lost synapses.
In that is Neuralink, Elon Musk’s company.

I want to analyze the writing of certain authors and create a kind of style staff assistant tailored to any human.