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

Markup Language (XML) is a simple text format which was designed to describe data using custom tags. The use of custom tags makes XML extremely flexible and enables it to not only describe structured data like information from a table of relational database but also semi-structured data. An XML document is self-describing which has made it a standard means of data exchange between applications and for use in configuration files of enterprise applications. The increasing preference to store and transmit data in the XML format has led to a need for searching these data stores for information. Query languages like Xpath and XQuery are used to retrieve information from xml document. But these query languages are complex for non expert user to learn. Keyword search allows such user to retrieve information without knowledge of complex query language. In this paper we proposed an algorithm for relevance ranking of nodes which retrieved as result by considering keyword ambiguity and intension of user. General Terms Information Retrieval.

Keyword Search on XML Repository with Relevance Ranking