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Data management for XML: Research directions (1999)
| Venue: | IEEE Data Engineering Bulletin |
| Citations: | 73 - 0 self |
BibTeX
@ARTICLE{Widom99datamanagement,
author = {Jennifer Widom},
title = {Data management for XML: Research directions},
journal = {IEEE Data Engineering Bulletin},
year = {1999},
volume = {22},
pages = {44--52}
}
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Abstract
This paper is a July 1999 snapshot of a “whitepaper ” that I’ve been working on. The purpose of the whitepaper, which I initially drafted in April 1999, was to formulate and put into prose my thoughts on the research opportunities XML brings to the general area of data management. It is important to know that this paper is not a survey. It offers my personal opinions and thoughts on Data Management for XML, fully incorporating my biases and ignorances. Related work is not discussed, and references are not provided with the exception of a handful of URLs. Furthermore, I expect the whitepaper to evolve over time; please see [1] for the latest version. 1 The XML Revolution XML—the eXtensible Markup Language—has recently emerged as a new standard for data representation and exchange on the Internet [2]. The basic ideas underlying XML are very simple: tags on data elements identify the meaning of the data, rather than, e.g., specifying how the data should be formatted (as in HTML), and relationships between data elements are provided via simple nesting and references. Yet the potential impact is significant: Web servers and applications encoding their data in XML can quickly make their information available in a simple and usable format, and such information providers can interoperate easily. Information content
