Article ID Journal Published Year Pages File Type
388118 Expert Systems with Applications 2012 11 Pages PDF
Abstract

Providing efficient query to XML data for ebXML applications in e-commerce is crucial, as XML has become the most important technique to exchange data over the Internet. ebXML is a set of specifications for companies to exchange their data in e-commerce. Following the ebXML specifications, companies have a standard method to exchange business messages, communicate data, and business rules in e-commerce. Due to its tree-structure paradigm, XML is superior for its capability of storing and querying complex data for ebXML applications. Therefore, discovering frequent XML query patterns has become an interesting topic for XML data management in ebXML applications. In this paper, we present an efficient mining algorithm, namely ebXMiner, to discover the frequent XML query patterns for ebXML applications. Unlike the existing algorithms, we propose a new idea by collecting the equivalent XML queries and then enumerating the candidates from infrequent XML queries in our ebXMiner. Furthermore, our simulation results show that ebXMiner outperforms other algorithms in its execution time.

Highlightâ–ş In this paper, we present an algorithm, ebXMiner, to mine frequent query patterns for ebXML applications. Two major contributions differentiate ebXMiner from others. First, ebXMiner considers that most of queries in applications have the same data structure. Second, ebXMiner produces frequent queries by testing infrequent ones.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, ,