Research on data integration has provided languages and systems able to guarantee an integrated intensionalrepresentation 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 basedon 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.

Relevant values: new metadata to provide insight on attribute values at schema level / Bergamaschi, Sonia; Guerra, Francesco; Orsini, Mirko; C., Sartori. - STAMPA. - DISI:(2007), pp. 274-279. (Intervento presentato al convegno International Conference on Enterprise Information Systems tenutosi a Funchal, Madeira nel 12-16, June 2007).

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

BERGAMASCHI, Sonia;GUERRA, Francesco;ORSINI, Mirko;
2007

Abstract

Research on data integration has provided languages and systems able to guarantee an integrated intensionalrepresentation 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 basedon 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
International Conference on Enterprise Information Systems
Funchal, Madeira
12-16, June 2007
DISI
274
279
Bergamaschi, Sonia; Guerra, Francesco; Orsini, Mirko; C., Sartori
Relevant values: new metadata to provide insight on attribute values at schema level / Bergamaschi, Sonia; Guerra, Francesco; Orsini, Mirko; C., Sartori. - STAMPA. - DISI:(2007), pp. 274-279. (Intervento presentato al convegno International Conference on Enterprise Information Systems tenutosi a Funchal, Madeira nel 12-16, June 2007).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/465303
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact