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dc.date.accessioned | 2012-11-08T15:23:45Z | |
dc.date.available | 2012-11-08T15:23:45Z | |
dc.date.issued | 2006-08 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/23896 | |
dc.description.abstract | 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. | en |
dc.language | en | es |
dc.subject | data grid environments | en |
dc.subject | Scientific databases | es |
dc.subject | Distributed Systems | es |
dc.title | Knowledge perspectives in data grids | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.isbn | 0-387-34654-6 | es |
sedici.creator.person | Hernández, Emilio | es |
sedici.creator.person | Cadenas, Luis Eliécer | es |
sedici.description.note | IFIP International Conference on Artificial Intelligence in Theory and Practice - Knowledge Acquisition and Data Mining | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática (RedUNCI) | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
sedici.date.exposure | 2006-08 | |
sedici.relation.event | 19 th IFIP World Computer Congress - WCC 2006 | es |
sedici.description.peerReview | peer-review | es |