NDLI: Dynamic Discovery of Incomplete Information in XML Data

Content Provider	IEEE Xplore Digital Library
Author	Feng Zhang Xiaoguang Hong Ji Bian
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. Sci., Shandong Univ., Jinan (Feng Zhang; Xiaoguang Hong; Ji Bian)
Abstract	XML becomes widely used in Web applications and Database systems. XML also is an important medium in pervasive computing. While, XML data may contain incomplete information as its own characters which are tree type structure, different schemas in heterogeneous databases and non-standard operations of normal users. This incomplete information can bring some unexpected effectives in operations like SELECT, JION and etc. Although these problems are widely studied in relational database systems, this is not the case in the native XML database systems. So how to discover incomplete information and complete it becomes the main point of our research. In this paper, we extend the concept of XML data tree, which allows XML data contains incomplete information legally. Then we present an algorithm, DiscoveryFD, for efficient discovery of functional dependencies which are related with incomplete information in XML data. We also present an algorithm, XMLChase, which can help us complete the incomplete information.
Starting Page	418
Ending Page	423
File Size	3774099
Page Count	6
File Format	PDF
ISBN	9781424420209
DOI	10.1109/ICPCA.2008.4783623
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-06
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pervasive computing Tree data structures XML Null value Relational databases Educational institutions Database systems Incomplete information
Content Type	Text
Resource Type	Article

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