Efficient join algorithms for distributed information integration based on XML
by Hongzhi Wang, Jianzhong Li, Shuguang Xiong
International Journal of Business Process Integration and Management (IJBPIM), Vol. 3, No. 4, 2008

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.

Online publication date: Wed, 06-May-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Process Integration and Management (IJBPIM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com