Various issues related to scientific data integration are discussed. The goal of data integration is to construct a global description, called global schema, of the data coming from a multitude of heterogeneous sources. Data integration systems generally follow a semantic approach to integration based on the conceptual schemas or metadata of the sources to be integrated and on a middleware data model for a uniform and semantically rich representation of heterogeneous sources. A key issue of the capability to bring data semantics aspects in automated schema matching techniques for semantic data integration.
Report on the EDBT'02 panel on scientific data integration / O. Boucelma, S. Castano, C. Goble, V. Josifovski, Z. Lacroix, B. Ludascher. - In: SIGMOD RECORD. - ISSN 0163-5808. - 31:4(2002), pp. 107-112.
Report on the EDBT'02 panel on scientific data integration
S. CastanoSecondo
;
2002
Abstract
Various issues related to scientific data integration are discussed. The goal of data integration is to construct a global description, called global schema, of the data coming from a multitude of heterogeneous sources. Data integration systems generally follow a semantic approach to integration based on the conceptual schemas or metadata of the sources to be integrated and on a middleware data model for a uniform and semantically rich representation of heterogeneous sources. A key issue of the capability to bring data semantics aspects in automated schema matching techniques for semantic data integration.Pubblicazioni consigliate
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