Knowledge perspectives in data grids
- Autores
- Hernández, Emilio; Cadenas, Luis Eliécer
- Año de publicación
- 2006
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures or theories to the interpretation of experimental data and information. Data grid environments provide high levels of security and virtualization, which allow the users to create new data services on the data server side. These new services are based on the user’s knowledge perspective. An implementation of this concept is presented, on a Globus-enabled Java execution platform.
IFIP International Conference on Artificial Intelligence in Theory and Practice - Knowledge Acquisition and Data Mining
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
data grid environments
Scientific databases
Distributed Systems - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
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- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23896
Ver los metadatos del registro completo
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Knowledge perspectives in data gridsHernández, EmilioCadenas, Luis EliécerCiencias Informáticasdata grid environmentsScientific databasesDistributed SystemsIn this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures or theories to the interpretation of experimental data and information. Data grid environments provide high levels of security and virtualization, which allow the users to create new data services on the data server side. These new services are based on the user’s knowledge perspective. An implementation of this concept is presented, on a Globus-enabled Java execution platform.IFIP International Conference on Artificial Intelligence in Theory and Practice - Knowledge Acquisition and Data MiningRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23896enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-05T12:35:32Zoai:sedici.unlp.edu.ar:10915/23896Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-05 12:35:33.151SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Knowledge perspectives in data grids |
| title |
Knowledge perspectives in data grids |
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Knowledge perspectives in data grids Hernández, Emilio Ciencias Informáticas data grid environments Scientific databases Distributed Systems |
| title_short |
Knowledge perspectives in data grids |
| title_full |
Knowledge perspectives in data grids |
| title_fullStr |
Knowledge perspectives in data grids |
| title_full_unstemmed |
Knowledge perspectives in data grids |
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Knowledge perspectives in data grids |
| dc.creator.none.fl_str_mv |
Hernández, Emilio Cadenas, Luis Eliécer |
| author |
Hernández, Emilio |
| author_facet |
Hernández, Emilio Cadenas, Luis Eliécer |
| author_role |
author |
| author2 |
Cadenas, Luis Eliécer |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas data grid environments Scientific databases Distributed Systems |
| topic |
Ciencias Informáticas data grid environments Scientific databases Distributed Systems |
| dc.description.none.fl_txt_mv |
In this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures or theories to the interpretation of experimental data and information. Data grid environments provide high levels of security and virtualization, which allow the users to create new data services on the data server side. These new services are based on the user’s knowledge perspective. An implementation of this concept is presented, on a Globus-enabled Java execution platform. IFIP International Conference on Artificial Intelligence in Theory and Practice - Knowledge Acquisition and Data Mining Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
In this paper a methodology for accesing scientific data repositories on data grids is proposed. This methodology is based on ontology specification and knowledge representation. The concept of Knowledge Perspective is introduced, as the action of applying particular scientific conjectures or theories to the interpretation of experimental data and information. Data grid environments provide high levels of security and virtualization, which allow the users to create new data services on the data server side. These new services are based on the user’s knowledge perspective. An implementation of this concept is presented, on a Globus-enabled Java execution platform. |
| publishDate |
2006 |
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2006-08 |
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eng |
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