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2012 23rd International Workshop on Database and Expert Systems Applications (2008)
Sept. 1, 2008 to Sept. 5, 2008
ISSN: 1529-4188
ISBN: 978-0-7695-3299-8
pp: 238-242
The concept of heterogeneity is very important in XML data management, since many common applications must deal with large and complex collections which do not conform to a schema. Heterogeneity in XML collections can be present at many different levels (textual and structural) and needs to be addressed from several perspectives. This paper contributes a formal characterization of heterogeneity in XML collections based on information-theoretic considerations. We show how it can be applied in some important use cases, and we demonstrate its effectiveness by using it to analyze a number of relevant XML collections and retrieval approaches found in the literature. We show that a large space of highly heterogeneous collections has not??been adequately addressed by these approaches.
XML, collection characterization, heterogeneous data, entropy
Giovanna Guerrini, Ismael Sanz, Marco Mesiti, Rafael Berlanga, "An Entropy-Based Characterization of the Heterogeneity of XML Collections", 2012 23rd International Workshop on Database and Expert Systems Applications, vol. 00, no. , pp. 238-242, 2008, doi:10.1109/DEXA.2008.55
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