A Structure Extraction Technique for XML Query Languages

Querying in structure documents must be respect to content and structure. Since, the Extensible Markup Language(XML) documents have additional information; document representation of these might add up metadata to describe data in context respect to XML language design. Recently, the need for accessing the XML content has been focused on query languages and efficient evaluation algorithms. The structure is very rich and carries important information about contents and their relationships, e.g. e-Commerce data or data published from databases. To improve the result of the retrieval system by using the structure of user query. In this paper, we are proposed a novel structure extraction techniques over a strongly structured collection of XML documents with INEX collection with respect to NEXI query language. It has been discovered that these steps achieve up to 100% respect to our experiments.