A semantic system cannot be called “semantic” if it does not encapsulate the knowledge of languages.
From this very basic fundamental requirement, we have to exclude all those fancy algorithms that rely on collecting statistics of links, symbols, words, clicking behaviors, and so forth. Statistics is a tool, not a model of a solution.
To go the distance, we need a deterministic model of a language processing solution. We need algorithms that match the meaning of concepts (rather than mere words) and emulate “understanding.”
Semantic Search: An Antidote for Poor Relevancy