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Ontology-driven geographic information integration: A survey of current approaches

Identifieur interne : 000212 ( PascalFrancis/Corpus ); précédent : 000211; suivant : 000213

Ontology-driven geographic information integration: A survey of current approaches

Auteurs : Agustina Buccella ; Alejandra Cechich ; Pablo Fillottrani

Source :

RBID : Pascal:09-0368866

Descripteurs français

English descriptors

Abstract

Integrating different information sources is a growing research area within different application domains. This is particularly true for the geographic information domain which is facing new challenges because newer and better technologies are capturing large amounts of information about the Earth. This trend can be combined with increases in the distribution of GIS (Geographic Information Systems) on the Web, which is leading to the proliferation of different geospatial information repositories and the subsequent need to integrate information across repositories to get consistent information. To overcome this situation, many proposals use ontologies in the integration process. In this paper we analyze and compare the most widely referred proposals of geographic information integration, focusing on those using ontologies as semantic tools to represent the sources, and to facilitate the integration process.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
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A06       @2 4
A08 01  1  ENG  @1 Ontology-driven geographic information integration: A survey of current approaches
A09 01  1  ENG  @1 Geoscience Knowledge Representation in Cyberinfrastructure
A11 01  1    @1 BUCCELLA (Agustina)
A11 02  1    @1 CECHICH (Alejandra)
A11 03  1    @1 FILLOTTRANI (Pablo)
A12 01  1    @1 BRODARIC (Boyan) @9 ed.
A12 02  1    @1 FOX (Peter) @9 ed.
A12 03  1    @1 MCGUINNESS (Deborah L.) @9 ed.
A14 01      @1 GIISCO Research Group, Departamento de Ciencias de la Computación, Universidad Nacional del Comahue, Buenos Aires 1400 @2 Neuquen 8300 @3 ARG @Z 1 aut. @Z 2 aut.
A14 02      @1 Departamento de Ciencias e Ingenieria de la Computación, Universidad Nacional del Sur, Avda Alem 1253 @2 Bahia Blanca 8000 @3 ARG @Z 3 aut.
A15 01      @1 Geological Survey of Canada, 234B-615 Booth Street @2 Ottawa, ON K1A 0E9 @3 CAN @Z 1 aut.
A15 02      @1 Tetherless World Constellation, Rensselaer Polytechnic Institute, 110 8th Street, Winslow Building @2 Troy, NY 12180 @3 USA @Z 2 aut. @Z 3 aut.
A20       @1 710-723
A21       @1 2009
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A43 01      @1 INIST @2 17165 @5 354000186137380030
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C01 01    ENG  @0 Integrating different information sources is a growing research area within different application domains. This is particularly true for the geographic information domain which is facing new challenges because newer and better technologies are capturing large amounts of information about the Earth. This trend can be combined with increases in the distribution of GIS (Geographic Information Systems) on the Web, which is leading to the proliferation of different geospatial information repositories and the subsequent need to integrate information across repositories to get consistent information. To overcome this situation, many proposals use ontologies in the integration process. In this paper we analyze and compare the most widely referred proposals of geographic information integration, focusing on those using ontologies as semantic tools to represent the sources, and to facilitate the integration process.
C02 01  2    @0 001E01J02
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C03 01  2  ENG  @0 heterogeneity @5 01
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C03 03  2  FRE  @0 Infrastructure @5 03
C03 03  2  ENG  @0 infrastructures @5 03
C03 04  2  FRE  @0 Planète Terre @5 04
C03 04  2  ENG  @0 Earth @5 04
C03 04  2  SPA  @0 Planeta tierra @5 04
C03 05  2  FRE  @0 Système information géographique @5 05
C03 05  2  ENG  @0 geographic information systems @5 05
C03 06  2  FRE  @0 Intégration donnée @5 06
C03 06  2  ENG  @0 data integration @5 06
C03 07  2  FRE  @0 Base de données @5 07
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C03 07  2  SPA  @0 Base dato @5 07
C03 08  2  FRE  @0 Ordinateur @5 08
C03 08  2  ENG  @0 computers @5 08
C03 08  2  SPA  @0 Computadora @5 08
C03 09  2  FRE  @0 Traitement donnée @5 09
C03 09  2  ENG  @0 data processing @5 09
C03 09  2  SPA  @0 Tratamiento datos @5 09
N21       @1 264

Format Inist (serveur)

NO : PASCAL 09-0368866 INIST
ET : Ontology-driven geographic information integration: A survey of current approaches
AU : BUCCELLA (Agustina); CECHICH (Alejandra); FILLOTTRANI (Pablo); BRODARIC (Boyan); FOX (Peter); MCGUINNESS (Deborah L.)
AF : GIISCO Research Group, Departamento de Ciencias de la Computación, Universidad Nacional del Comahue, Buenos Aires 1400/Neuquen 8300/Argentine (1 aut., 2 aut.); Departamento de Ciencias e Ingenieria de la Computación, Universidad Nacional del Sur, Avda Alem 1253/Bahia Blanca 8000/Argentine (3 aut.); Geological Survey of Canada, 234B-615 Booth Street/Ottawa, ON K1A 0E9/Canada (1 aut.); Tetherless World Constellation, Rensselaer Polytechnic Institute, 110 8th Street, Winslow Building/Troy, NY 12180/Etats-Unis (2 aut., 3 aut.)
DT : Publication en série; Niveau analytique
SO : Computers & geosciences; ISSN 0098-3004; Royaume-Uni; Da. 2009; Vol. 35; No. 4; Pp. 710-723; Bibl. 1 p.1/4
LA : Anglais
EA : Integrating different information sources is a growing research area within different application domains. This is particularly true for the geographic information domain which is facing new challenges because newer and better technologies are capturing large amounts of information about the Earth. This trend can be combined with increases in the distribution of GIS (Geographic Information Systems) on the Web, which is leading to the proliferation of different geospatial information repositories and the subsequent need to integrate information across repositories to get consistent information. To overcome this situation, many proposals use ontologies in the integration process. In this paper we analyze and compare the most widely referred proposals of geographic information integration, focusing on those using ontologies as semantic tools to represent the sources, and to facilitate the integration process.
CC : 001E01J02; 224B02
FD : Hétérogénéité; Classification; Infrastructure; Planète Terre; Système information géographique; Intégration donnée; Base de données; Ordinateur; Traitement donnée
ED : heterogeneity; classification; infrastructures; Earth; geographic information systems; data integration; data bases; computers; data processing
SD : Heterogeneidad; Clasificación; Planeta tierra; Base dato; Computadora; Tratamiento datos
LO : INIST-17165.354000186137380030
ID : 09-0368866

Links to Exploration step

Pascal:09-0368866

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   |type=    RBID
   |clé=     Pascal:09-0368866
   |texte=   Ontology-driven geographic information integration: A survey of current approaches
}}

Wicri

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