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Getting the knowledge to the agent : the Rough Sets approach

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Detalhes bibliográficos
Resumo:For a query in a Research Information System (CRIS) to return adequate results, it is necessary that the system can “understand” the intention of the enquiring agent. One possible approach to guarantee the success of this communication is to create an intermediate module, responsible for the knowledge discovery processes, that can define concepts translatable in the languages used by the different agents involved in the use of a CRIS, enhance the queries, construct information over the available information and construct knowledge about the knowledge available in the CRIS and about its use. The Rough Set theory is a powerful tool that can set a path to achieve this goal. This paper describes in what way that is achievable, while describing the approach that is being followed by the portuguese CRIS, Degóis.
Autores principais:Magalhães, Paulo Sérgio Tenreiro
Outros Autores:Santos, Leonel Duarte dos; Amaral, Luís
Assunto:CRIS Research information system Information retrieval Rough Sets Web services
Ano:2006
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:For a query in a Research Information System (CRIS) to return adequate results, it is necessary that the system can “understand” the intention of the enquiring agent. One possible approach to guarantee the success of this communication is to create an intermediate module, responsible for the knowledge discovery processes, that can define concepts translatable in the languages used by the different agents involved in the use of a CRIS, enhance the queries, construct information over the available information and construct knowledge about the knowledge available in the CRIS and about its use. The Rough Set theory is a powerful tool that can set a path to achieve this goal. This paper describes in what way that is achievable, while describing the approach that is being followed by the portuguese CRIS, Degóis.