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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The overall XML file length is one of the critical factors when we need to transfer a large amount of data from relational database into XML. Especially in the nested tree structure of XML file, redundant data in the XML file can add more cost on database access, network traffic and XML query processing. Most previous automated relational to XML conversion research efforts use directed graphs to present relations in the database and nested trees in the XML structure. However, they all ignore that different combinations of tree structures in a graph can have a big impact on the XML data file size. This paper addresses this nested structure data file size problem. It proposes a module that can find the most convenient tree structure for the automated relational to XML conversion process. It provides a plan generator algorithm to list all the possible tree structures in a given directed weighted graph. Also it analyzes the data size of each plan and shows the convenient tree structure to the user. It can finally create the targeted XML documents for the user.

DWG2XML: GENERATING XML NESTED TREE STRUCTURE FROM DIRECTED WEIGHTED GRAPH