2008 19th International Conference on Database and Expert Systems Application An Entropy-Based Characterization of the Heterogeneity of XML Collections September 01-September 05 ISBN: 978-0-7695-3299-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.55
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.
Index Terms:
XML, collection characterization, heterogeneous data, entropy
Citation:
Ismael Sanz, Marco Mesiti, Giovanna Guerrini, Rafael Berlanga, "An Entropy-Based Characterization of the Heterogeneity of XML Collections," dexa, pp.238-242, 2008 19th International Conference on Database and Expert Systems Application, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||