Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation common to most proposals is that only intensional knowledge is considered, with little or no consideration for extensional knowledge. In this paper we propose a technique to enrich the intension of an attribute with a new sort of metadata: the “relevant values”, extracted from the attribute values. Relevant values enrich schemata with domain knowledge; moreover they can be exploited by a user in the interactive process of creating/refining a query. The technique, fully implemented in a prototype, is automatic, independent of the attribute domain and it is based on data mining clustering techniques and emerging semantics from data values. It is parametrized with various metrics for similarity measures and is a viable tool for dealing with frequently changing sources, as in the Semantic Web context.

Sonia Bergamaschi, Francesco Guerra, Mirko Orsini, Claudio Sartori (2007). Relevant values: new metadata to provide insight on attribute values at schema level. SINE LOCO : ICEIS.

Relevant values: new metadata to provide insight on attribute values at schema level

SARTORI, CLAUDIO
2007

Abstract

Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation common to most proposals is that only intensional knowledge is considered, with little or no consideration for extensional knowledge. In this paper we propose a technique to enrich the intension of an attribute with a new sort of metadata: the “relevant values”, extracted from the attribute values. Relevant values enrich schemata with domain knowledge; moreover they can be exploited by a user in the interactive process of creating/refining a query. The technique, fully implemented in a prototype, is automatic, independent of the attribute domain and it is based on data mining clustering techniques and emerging semantics from data values. It is parametrized with various metrics for similarity measures and is a viable tool for dealing with frequently changing sources, as in the Semantic Web context.
2007
ICEIS 2007 - Proceedings of the Ninth International Conference on Enterprise Information Systems
12
16
Sonia Bergamaschi, Francesco Guerra, Mirko Orsini, Claudio Sartori (2007). Relevant values: new metadata to provide insight on attribute values at schema level. SINE LOCO : ICEIS.
Sonia Bergamaschi; Francesco Guerra; Mirko Orsini; Claudio Sartori
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/75977
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