Multidimentional Relavancy Matrix Dictionary
AKA => MRM Dictionary
Prerequisites to read: Relevancy of a word to a Human Subject Field
This dictionary is for a computer to understand the meaning of a word in terms of subjects it is relevant to. This dictionary could be able to grow itself, by finding which words comes with which words in common, and what is the relevant subject for each word, or what is the subject relevancy of a word as the words it comes with.
As an example…
Here, to understand it easier we have used only three dimensions. Actually this is a multidimensional matrix for an n number of axis (subjects). Don’t try to apply it for a multidimensional graph to understand. If it works for three dimensions it will work for n dimensions.
We can use 1:N mapping in a simple database or a flat file for more efficiency in speed. We have to discuss on that. If we have to process these queries faster we may have to build our own data retrieving technique other than conventional databases.
You will find that there is a small problem in the word “oil”; that it relates to “Automobile” as well As a “Food”. Therefore there can be problems in that. But we are taking the average of these values for a whole sentence to minimize such problems.
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