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

Efficient management of RDF data plays an important role in successfullyunderstanding and fast querying data. Although the current approaches ofindexing in RDF Triples such as property tables and vertically partitionedsolved many issues; however, they still suffer from the performance in thecomplex self-join queries and insert data in the same table. As an improvementin this paper, we propose an alternative solution to facilitate flexibility andefficiency in that queries and try to reach to the optimal solution to decreasethe self-joins as much as possible, this solution based on the idea of"Recursive Mapping of Twin Tables". Our main goal of Recursive Mapping of TwinTables (RMTT) approach is divided the main RDF Triple into two tables whichhave the same structure of RDF Triple and insert the RDF data recursively. Ourexperimental results compared the performance of join queries in verticallypartitioned approach and the RMTT approach using very large RDF data, like DBLPand DBpedia datasets. Our experimental results with a number of complexsubmitted queries shows that our approach is highly scalable compared withRDF-3X approach and RMTT reduces the number of self-joins especially in complexqueries 3-4 times than RDF-3X approach

Scalable and Efficient Self-Join Processing technique in RDF data