Relational Databases for Querying XML Documents: Limitations and Opportunities

@inproceedings{Shanmugasundaram1999RelationalDF,
  title={Relational Databases for Querying XML Documents: Limitations and Opportunities},
  author={Jayavel Shanmugasundaram and Kristin Tufte and Chun Zhang and Gang He and David J. DeWitt and Jeffrey F. Naughton},
  booktitle={VLDB},
  year={1999}
}
XML is fast emerging as the dominant standard for representing data in the World Wide Web. Sophisticated query engines that allow users to effectively tap the data stored in XML documents will be crucial to exploiting the full power of XML. While there has been a great deal of activity recently proposing new semistructured data models and query languages for this purpose, this paper explores the more conservative approach of using traditional relational database engines for processing XML… CONTINUE READING
Highly Influential
This paper has highly influenced 111 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,231 citations. REVIEW CITATIONS
700 Citations
13 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 700 extracted citations

1,231 Citations

050100150'99'03'08'13'18
Citations per Year
Semantic Scholar estimates that this publication has 1,231 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…