Report on the EDBT'02 panel on scientific data integration

Omar Boucelma; Silvana Castano; Carole Goble; Vanja Josifovski; Zoé Lacroix; Bertram Ludäscher

doi:10.1145/637411.637431

Report on the EDBT'02 panel on scientific data integration

Omar Boucelma, Silvana Castano, Carole Goble, Vanja Josifovski, Zoé Lacroix, Bertram Ludäscher

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	107-112
Number of pages	5
Journal	SIGMOD Record
Volume	31
Issue number	4
DOIs	https://doi.org/10.1145/637411.637431
Publication status	Published - Dec 2002

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title = "Report on the EDBT'02 panel on scientific data integration",

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.",

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AU - Lacroix, Zoé

AU - Ludäscher, Bertram

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AB - 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.

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Report on the EDBT'02 panel on scientific data integration

Abstract

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