Dissemination of heterogeneous xml data

ABSTRACT

A lot of recent research has focused on the content-based dissemination of XML data. However, due to the heterogeneous data schemas used by different data publishers even for data in the same domain, an important challenge is how to efficiently and effectively disseminate relevant data to subscribers whose subscriptions might be specified based on schemas that are different from those used by the data publishers. This paper examines the options to resolve this schema heterogeneity problem in XML data dissemination, and proposes a novel paradigm that is based on data rewriting. Our experimental results demonstrate the effectiveness of the data rewriting paradigm and identifies the tradeoffs of the various approaches

REFERENCES

• 1: C.-Y. Chan , P. Felber , M. Garofalakis , R. Rastogi, Efficient filtering of XML documents with XPath expressions, The VLDB Journal — The International Journal on Very Large Data Bases, v.11 n.4, p.354-379, December 2002 [doi>10.1007/s00778-002-0077-6]
• 2: Yanlei Diao , Shariq Rizvi , Michael J. Franklin, Towards an internet-scale XML dissemination service, Proceedings of the Thirtieth international conference on Very large data bases, p.612-623, August 31-September 03, 2004, Toronto, Canada
• 3: Ioana Manolescu , Daniela Florescu , Donald Kossmann, Answering XML Queries on Heterogeneous Data Sources, Proceedings of the 27th International Conference on Very Large Data Bases, p.241-250, September 11-14, 2001

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.m Miscellaneous

General Terms:
Algorithms, Design, Performance

Keywords:
data rewriting, dissemination, heterogeneous, xml