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

Much of work in semantic web relying on Wikipedia as the main source ofknowledge often work on static snapshots of the dataset. The full history ofWikipedia revisions, while contains much more useful information, is stilldifficult to access due to its exceptional volume. To enable further researchon this collection, we developed a tool, named Hedera, that efficientlyextracts semantic information from Wikipedia revision history datasets. Hederaexploits Map-Reduce paradigm to achieve rapid extraction, it is able to handleone entire Wikipedia articles revision history within a day in a medium-scalecluster, and supports flexible data structures for various kinds of semanticweb study.

Hedera: Scalable Indexing and Exploring Entities in Wikipedia Revision History