An Implementation of XML Documents Search System based on Similarity in Structure and Semantics

Extensible Markup Language (XML) is an internet standard that is used to express and convert data. In order to find the necessary information out of XML documents, you need a search system for XML documents. In this research, we have developed a search system that can find documents that matches the structure and content of a given XML document, making the best use of XML structure. Search metrics take account of the similarity in tag names, tag values, and the structure of tags. After a search, the system displays the ranked results in the order of aggregate similarity. Three methods of query are provided: keyword search which is conventional; search with tag names and their values; and search with XML documents. These three methods enable users to choose the method that best suits their preference, resulting in the increase of the usefulness of the system.