An Overview of Imperfection Representation in Semistructured Data
Identifieur interne : 000437 ( Main/Merge ); précédent : 000436; suivant : 000438An Overview of Imperfection Representation in Semistructured Data
Auteurs : Matteo Magnani [Italie] ; Danilo Montesi [Italie]Source :
- Studies in Fuzziness and Soft Computing [ 1434-9922 ]
Abstract
Abstract : Today, many important database applications have to deal with data that is both semistructured and either imprecise or uncertain. As an example, scientific databases are likely to contain data affected by some types of imperfection, with a schema that is not well-defined a priori [6, ch.10]. A different area with similar features is that of structured information retrieval, which has become very popular after the spread of XML documents [15].
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DOI: 10.1007/3-540-33289-8_9
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<front><div type="abstract" xml:lang="en">Abstract : Today, many important database applications have to deal with data that is both semistructured and either imprecise or uncertain. As an example, scientific databases are likely to contain data affected by some types of imperfection, with a schema that is not well-defined a priori [6, ch.10]. A different area with similar features is that of structured information retrieval, which has become very popular after the spread of XML documents [15].</div>
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