Abstract
For its flexibility, XML is suitable for data representation in information integration systems. Querying XML data in distributed information integration system brings new challenges. In this paper, we focus on join algorithms in result merging step of query processing in distributed information integration system based on XML. In order to transmit partial results efficiently, data compacting strategies are presented. We present four join operators with various semantics for result merging in XML-based information integration system. Based on the compacted data, efficient evaluation algorithms are designed for join operators presented in this paper. To process join on data from multiple data sources, our two-way join algorithms are extended to multi-join algorithm. Extensive experimental results show that our data compacting strategy is effective; our join algorithms outperform XJoin significantly and have good scalability; our multi-join algorithm outperforms the strategy of performing, multi-way join is efficient and has good scalability.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Business Process Integration and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
