Frameworks For Knowledge Retrieval Systems
From computer science perspective, a logic framework concentrating on fuzziness of knowledge queries has been proposed and investegated in detail. Markup languages for knowledge reasoning and relevant strategies have been investigated, which may serve as possible logic reasoning foundations for text based knowledge retrieval.
From cognitive science perspective, especially from cognitive psychology and cognitive neuroscience perspective, the neurobiological basis for knowledge retrieval in the human brain has been investigated, and may serve as a cognitive model for knowledge retrieval.
Read more about this topic: Knowledge Retrieval
Famous quotes containing the words knowledge and/or systems:
“For also knowledge itself is power.”
—Francis Bacon (1561–1626)
“The only people who treasure systems are those whom the whole truth evades, who want to catch it by the tail. A system is just like truth’s tail, but the truth is like a lizard. It will leave the tail in your hand and escape; it knows that it will soon grow another tail.”
—Ivan Sergeevich Turgenev (1818–1883)