Experience suggests that fully automated schema matching is infeasible, especially for n-to-m matches involving semantic functions
Schema matching aims at identifying semantic correspondences between elements of two schemas, e.g., ...
International audienceSchema matching is a key task in several applications such as data integratio...
Abstract:- Schemas used in various environments become more and more numerous, though they do not co...
Experience suggests that fully automated schema matching is infeasible, especially for n-to-m matche...
The goal of schema matching is to identify correspondences between the elements of two schemas. Most...
During data integration it often occurs that two databases with different schemas have to be integra...
Abstract. Schema and ontology matching is a process of establishing corre-spondences between schema ...
Schema matching is a basic problem in many database application domains, such as data integration, E...
Querying semantically related data sources depends on the ability to map between their schemas. Unfo...
Schema matching is a crucial task to gather in-formation of the same domain. This is more true on th...
Today schema matching is a basic task in almost every data intensive distributed application, namely...
Schema matching has been a researched topic for over 20 years. Therefore, many schema matching solut...
Schema matching is a critical problem for integrating heterogeneous information sources. Traditional...
International audienceQuerying semantically related data sources depends on the ability to map betwe...
Current speed of data growth has exponentially increased over the past decade, highlighting the need...
Schema matching aims at identifying semantic correspondences between elements of two schemas, e.g., ...
International audienceSchema matching is a key task in several applications such as data integratio...
Abstract:- Schemas used in various environments become more and more numerous, though they do not co...
Experience suggests that fully automated schema matching is infeasible, especially for n-to-m matche...
The goal of schema matching is to identify correspondences between the elements of two schemas. Most...
During data integration it often occurs that two databases with different schemas have to be integra...
Abstract. Schema and ontology matching is a process of establishing corre-spondences between schema ...
Schema matching is a basic problem in many database application domains, such as data integration, E...
Querying semantically related data sources depends on the ability to map between their schemas. Unfo...
Schema matching is a crucial task to gather in-formation of the same domain. This is more true on th...
Today schema matching is a basic task in almost every data intensive distributed application, namely...
Schema matching has been a researched topic for over 20 years. Therefore, many schema matching solut...
Schema matching is a critical problem for integrating heterogeneous information sources. Traditional...
International audienceQuerying semantically related data sources depends on the ability to map betwe...
Current speed of data growth has exponentially increased over the past decade, highlighting the need...
Schema matching aims at identifying semantic correspondences between elements of two schemas, e.g., ...
International audienceSchema matching is a key task in several applications such as data integratio...
Abstract:- Schemas used in various environments become more and more numerous, though they do not co...
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