A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems
Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web con...
Ausführliche Beschreibung
Autor*in: |
Niang, C. [verfasserIn] Markhoff, B. Bouchou [verfasserIn] Sam, Y. [verfasserIn] Lo, M. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Umfang: |
1 Online-Ressource |
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Übergeordnetes Werk: |
Enthalten in: International journal of adaptive, resilient and autonomic systems - Hershey, Pa : IGI Global, 2010, 4(2013), 2, Seite 35-53 |
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Übergeordnetes Werk: |
volume:4 ; year:2013 ; number:2 ; pages:35-53 |
Links: |
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DOI / URN: |
10.4018/jaras.2013040102 |
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NLEJ251787672 |
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10.4018/jaras.2013040102 doi (DE-627)NLEJ251787672 (VZGNL)10.4018/jaras.2013040102 DE-627 ger DE-627 rakwb eng Niang, C. verfasserin aut A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) Data Integration Domain-Reference Ontology Global Schema Schema Matching Semantic Web Markhoff, B. Bouchou verfasserin aut Sam, Y. verfasserin aut Lo, M. verfasserin aut Enthalten in International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 4(2013), 2, Seite 35-53 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:4 year:2013 number:2 pages:35-53 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2013 2 35-53 |
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10.4018/jaras.2013040102 doi (DE-627)NLEJ251787672 (VZGNL)10.4018/jaras.2013040102 DE-627 ger DE-627 rakwb eng Niang, C. verfasserin aut A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) Data Integration Domain-Reference Ontology Global Schema Schema Matching Semantic Web Markhoff, B. Bouchou verfasserin aut Sam, Y. verfasserin aut Lo, M. verfasserin aut Enthalten in International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 4(2013), 2, Seite 35-53 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:4 year:2013 number:2 pages:35-53 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2013 2 35-53 |
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10.4018/jaras.2013040102 doi (DE-627)NLEJ251787672 (VZGNL)10.4018/jaras.2013040102 DE-627 ger DE-627 rakwb eng Niang, C. verfasserin aut A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) Data Integration Domain-Reference Ontology Global Schema Schema Matching Semantic Web Markhoff, B. Bouchou verfasserin aut Sam, Y. verfasserin aut Lo, M. verfasserin aut Enthalten in International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 4(2013), 2, Seite 35-53 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:4 year:2013 number:2 pages:35-53 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2013 2 35-53 |
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10.4018/jaras.2013040102 doi (DE-627)NLEJ251787672 (VZGNL)10.4018/jaras.2013040102 DE-627 ger DE-627 rakwb eng Niang, C. verfasserin aut A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) Data Integration Domain-Reference Ontology Global Schema Schema Matching Semantic Web Markhoff, B. Bouchou verfasserin aut Sam, Y. verfasserin aut Lo, M. verfasserin aut Enthalten in International journal of adaptive, resilient and autonomic systems Hershey, Pa : IGI Global, 2010 4(2013), 2, Seite 35-53 Online-Ressource (DE-627)NLEJ244418640 (DE-600)2695784-X 1947-9239 nnns volume:4 year:2013 number:2 pages:35-53 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2013 2 35-53 |
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Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) |
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Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) |
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Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. The work presented here is implemented as a prototype for Semi Automatic Global Ontology Building (SAGOB) |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251787672</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143831.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/jaras.2013040102</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251787672</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/jaras.2013040102</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Niang, C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Semi-Automatic Approach For Global-Schema Construction in Data Integration Systems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a ́ʺglobal schemá́. The authors address here the problem of the construction of this global schema, with a minimum human effort, in the semantic Web context where data sources are annotated with ontologies. The authors aim to facilitate the task of building a common vocabulary (ontology) that will serve as a shared conceptual level for several heterogeneous data sources needing to share their data in a specific application domain. The authors propose a solution based on the use of a domain reference ontology (or ́ʺbackground knowledgé́) as a mediation support and some reasoning techniques in order to minimize human intervention. 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Bouchou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sam, Y.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lo, M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of adaptive, resilient and autonomic systems</subfield><subfield code="d">Hershey, Pa : IGI Global, 2010</subfield><subfield code="g">4(2013), 2, Seite 35-53</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418640</subfield><subfield code="w">(DE-600)2695784-X</subfield><subfield code="x">1947-9239</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:35-53</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jaras.2013040102&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2013</subfield><subfield code="e">2</subfield><subfield code="h">35-53</subfield></datafield></record></collection>
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