An Intelligent XML Information Retrieval System

eXtensible Markup Language (XML) is widely used due to the characteristics of self-describing, scalable, and flexibility for representing different types of information in a single unified way. Information retrieval systems (IR) have become essential in finding relevant information within XML data. The growing volume of XML contents in many domains has motivated the research on how to retrieve XML data efficiently and effectively. XML information retrieval (XML-IR) systems main process is searching XML document fragments relevant to queries from a collection of XML documents. This paper aims at integrating IR and XML search techniques that could enable more sophisticated search on the structure as well as the content of the documents. This paper proposes an intelligent method of ranking XML documents with respect to an IR query by means of fuzzy logic. The proposed system deals with vague, uncertainty, and imprecise queries that allow it to be evaluated against an XML document collection. Experimental results show good performance of the proposed system compared to ADXPI system.