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Considering application domain ontologies for data mining
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| The dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in databases. We analyze how ontologies and knowledge discovery process may interoperate and present our efforts to bridge the two fields, knowledge discovery in databases and ontology learning for successful database usage projects. | 508.72 KB | Adobe PDF |
Orientador(es)
Resumo(s)
The dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in databases. We analyze how ontologies and knowledge discovery process may interoperate and present our efforts to bridge the two fields, knowledge discovery in databases and ontology learning for successful database usage projects.
Descrição
https://scholar.google.com/scholar?q=Considering%20application%20domain%20ontologies%20for%20data%20mining
Palavras-chave
Ontologies Knowledge Discovery Databases Data Mining
Contexto Educativo
Citação
Pinto, F. M., & Santos, M. F. (2009). Considering application domain ontologies for data mining. WSEAS Trans. Info. Sci. and App, 6(9), 1478-1492.
Editora
World Scientific and Engineering Academy and Society (WSEAS)