English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The classical forms of knowledge representation fail when a strong dynamicalinterconnection between system and environment comes into play. We propose herea model of information retrieval derived from the Kintsch-Ericsson scheme,based upon a long term memory (LTM) associative net whose structure changes intime according to the textual content of the analyzed documents. Both thetheoretical analysis carried out by using simple statistical tools and thetests show the appearing of typical power-laws and the net configuration as ascale-free graph. The information retrieval from LTM shows that the entiresystem can be considered to be an information amplifier which leads to theemergence of new cognitive structures. It has to be underlined that theexpanding of the semantic domain regards the user-network as a whole system.

A Dynamical Model for Information Retrieval and Emergence of Scale-Free Clusters in a Long Term Memory Network