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 Web has been chosen as a basic infrastructure to gain the socialstructure information, through the social network extraction, from all over theworld. However, most of the web documents are unstructured and lack ofsemantics. Moreover, that network is subject to all kinds of changes anddynamics, and a network can be very complex due to the large number of nodesand links Web contains. In this paper, we discuss a methodology that meant toassists in extracting and modeling the social network from Web snippet. As themanual social network extraction of web documents is impractical andunscalable, and fully automated extraction are still at the very early stage tobe implemented, we proposed a (semi)-automatic extraction based on thesuperficial methods.

A Methodology to Extract Social Network from the Web Snippet