Handling the heterogeneity of structure and/or content of XML documents for the retrieval of information is a fertile field of research nowadays. Many efforts are currently devoted to identifying approximate answers to queries that require relaxation on conditions both on the structure and the content of XML documents. Results are ranked relying on score functions that measure their quality and relevance and only the top-k returned.
ArHeX: An Approximate Retrieval System for Highly Heterogeneous XML Document Collections / Ismael Sanz, Marco Mesiti, Giovanna Guerrini, Rafael Berlanga Llavori - In: Advances in Database Technology - EDBT 2006 : 10th International Conference on Extending Database Technology : Munich, Germany, 26-31 March, 2006 / Yannis Ioannidis, Marc H. Scholl, Joachim W. Schmidt, Florian Matthes, Mike Hatzopoulos, Klemens Boehm, Alfons Kemper, Torsten Grust, Christian Boehm. - Berlin : Springer, 2006 Mar 26. - ISBN 3540329609. - pp. 1186-1189 (( Intervento presentato al 10. convegno International Conference on Extending Database Technology tenutosi a Munich, Germany nel 2006 [10.1007/11687238_88].
ArHeX: An Approximate Retrieval System for Highly Heterogeneous XML Document Collections
M. Mesiti;
2006
Abstract
Handling the heterogeneity of structure and/or content of XML documents for the retrieval of information is a fertile field of research nowadays. Many efforts are currently devoted to identifying approximate answers to queries that require relaxation on conditions both on the structure and the content of XML documents. Results are ranked relying on score functions that measure their quality and relevance and only the top-k returned.
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