2006Unpublished venueRequires access

The Schema Mapping Technology in the Integration of Heterogeneous Data Source

Xue Yang

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Abstract

Schema mapping is the key technology for the implementation of query reformulation in heterogeneous data source integration. First,centralized and uncentralized integration architecture of schema mapping are introduced,and then three basic forms of schema mapping are summarized,such as GAV,LAV,GLAV. Two core technologies of schema mapping,schema matching and mapping generation,are deeply discussed. Finally,new research issues of schema mapping technology are also mentioned.

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What this paper is about

Schema mapping is the key technology for the implementation of query reformulation in heterogeneous data source integration. First,centralized and uncentralized integration architecture of schema mapping are introduced,and then three basic forms of schema mapping are summarized,such as GAV,LAV,GLAV. Two core technologies of schema mapping,schema matching and mapping generation,are deeply discussed. Finally,new research issues of schema mapping technology are also mentioned.

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Available abstract

Schema mapping is the key technology for the implementation of query reformulation in heterogeneous data source integration. First,centralized and uncentralized integration architecture of schema mapping are introduced,and then three basic forms of schema mapping are summarized,such as GAV,LAV,GLAV. Two core technologies of schema mapping,schema matching and mapping generation,are deeply discussed. Finally,new research issues of schema mapping technology are also mentioned.

Key concepts: Computer science, Star schema, Schema matching, Schema (genetic algorithms), Conceptual schema, Data integration, Semi-structured model, Schema migration

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