CyberinfraV1, Main, Exploration, bibRecord, 000D31

Semantic Web-based geospatial knowledge transformation

Identifieur interne : 000D31 ( Main/Exploration ); précédent : 000D30; suivant : 000D32

Semantic Web-based geospatial knowledge transformation

Auteurs : PEISHENG ZHAO [États-Unis] ; LIPING DI [États-Unis] ; GENONG YU [États-Unis] ; PENG YUE [États-Unis] ; YAXING WEI [États-Unis] ; WENLI YANG [États-Unis]

Source :

Computers & geosciences [ 0098-3004 ] ; 2009.

RBID : Pascal:09-0371472

Descripteurs français

Pascal (Inist)
- Transformation, Planète Terre, Infrastructure, Réseau, Internet, Modèle, Catalogue, Automatisation, Ordinateur, Traitement donnée, Erosion, Sédimentation, Glissement terrain, Ontologie, Web sémantique.
Wicri :
- topic : Catalogue, Automatisation, Ordinateur.

English descriptors

KwdEn :
- Earth, automation, catalogs, computers, data processing, erosion, infrastructures, internet, landslides, models, networks, sedimentation, transformations.

Abstract

Earth and space science research and applications typically involve collecting and analyzing large volumes of geospatial data much of which is derived from other existing data by applying a scientific workflow. Such a step-by-step process can be viewed as a process of geospatial knowledge transformation, which often involves hypotheses, inferences and integrations to derive user-specific data products from the knowledge of domain experts. Our research is focused on reducing the transformation effort by providing component inference and integration tools. The Semantic Web envisions a new standardized information infrastructure to enable interoperable machine-to-machine interactions and automatic or semi-automatic service chaining for deriving knowledge over networks. This paper describes a generic framework and implementation of how the Semantic Web proceeds through the life cycle of geospatial knowledge transformation, from geospatial modeling (knowledge formalization), through model instantiation (service chain) to model execution (data product). Our approach relies on semantic integrations. A number of ontologies used to capture domain knowledge are introduced in this paper as the basis of knowledge bases for describing and reasoning geospatial data and services. Also, a semantically enabled geospatial catalog service is described to enable more effective discovery, automation and integration of geospatial data and services.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000200
to stream PascalFrancis, to step Curation: 000050
to stream PascalFrancis, to step Checkpoint: 000183
to stream Main, to step Merge: 000D37
to stream Main, to step Curation: 000D31

Le document en format XML

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<term>erosion</term>
<term>infrastructures</term>
<term>internet</term>
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<term>Catalogue</term>
<term>Automatisation</term>
<term>Ordinateur</term>
<term>Traitement donnée</term>
<term>Erosion</term>
<term>Sédimentation</term>
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<front><div type="abstract" xml:lang="en">Earth and space science research and applications typically involve collecting and analyzing large volumes of geospatial data much of which is derived from other existing data by applying a scientific workflow. Such a step-by-step process can be viewed as a process of geospatial knowledge transformation, which often involves hypotheses, inferences and integrations to derive user-specific data products from the knowledge of domain experts. Our research is focused on reducing the transformation effort by providing component inference and integration tools. The Semantic Web envisions a new standardized information infrastructure to enable interoperable machine-to-machine interactions and automatic or semi-automatic service chaining for deriving knowledge over networks. This paper describes a generic framework and implementation of how the Semantic Web proceeds through the life cycle of geospatial knowledge transformation, from geospatial modeling (knowledge formalization), through model instantiation (service chain) to model execution (data product). Our approach relies on semantic integrations. A number of ontologies used to capture domain knowledge are introduced in this paper as the basis of knowledge bases for describing and reasoning geospatial data and services. Also, a semantically enabled geospatial catalog service is described to enable more effective discovery, automation and integration of geospatial data and services.</div>
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<name sortKey="Genong Yu" sort="Genong Yu" uniqKey="Genong Yu" last="Genong Yu">GENONG YU</name>
<name sortKey="Liping Di" sort="Liping Di" uniqKey="Liping Di" last="Liping Di">LIPING DI</name>
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Semantic Web-based geospatial knowledge transformation

Semantic Web-based geospatial knowledge transformation

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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