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

In this paper, we investigate the problem of evaluating Basic Graph Patterns(BGP, for short, a subclass of SPARQL queries) over dynamic Linked Data graphs;i.e., Linked Data graphs that are continuously updated. We consider a settingwhere the updates are continuously received through a stream of messages andsupport both insertions and deletions of triples (updates are straightforwardlyhandled as a combination of deletions and insertions). In this context, wepropose a set of in-memory algorithms minimizing the cached data forefficiently and continuously answering main subclasses of BGP queries. Thequeries are typically submitted into a system and continuously result the deltaanswers while the update messages are processed. Consolidating all thehistorical delta answers, the algorithms ensure that the answer of each queryis constructed at any given time.

Evaluating Continuous Basic Graph Patterns over Dynamic Link Data Graphs