Abstract

Traditional document indexing methods, although useful, do not take into account some important aspects of language, such as syntax and semantics. Unlikely, semantic hyperspaces are mathematical and statistical-based techniques that do it. However,although they are an improvement on traditional methods, the output representation is still vector like. This paper proposesa computational model of text reading, called Cognitive Reading Indexing (CRIM), inspired by some aspects of human readingcognition, such as sequential perception, temporality, memory, forgetting and inferences. The model produces not vectors butnets of activated concepts. This paper is focused on indexing or representing documents that way so that they can be labeledor retrieved, presenting promising results. The system was applied to model human subjects as well, and some interesting resultswere obtained.

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SpringerLink - Book Chapter. On reading

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