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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

AI-STARS is a lexicon-assisted full-text Information Retrieval system, designed for use in a dynamic corporate environment. In this paper, we explore how the requirements of such an environment have influenced many key aspects of the design and implementation of the AI-STARS system. We promote the use of “views” to create logical partitions in large, heterogeneous databases, and argue that storing not only article instances, but also class defhitions, stored queries, display templates and linguistic data in a single object repository has consequences that can be exploited for schema and lexicon evolution, security and subject filtering, information navigation, and data distribution.

Addressing the requirements of a dynamic corporate textual information base