Indexing complex data in Generic Metric Domains. / Indexação de dados em domínios métricos generalizáveis

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

The DBMS were developed to manipulate data in numeric domains and short strings, not considering the manipulation of complex data, like multimidia data. The operators em data domain which requests for the total order property have no use to handle complex data. An operator class that fit well to handle this type of data are the similarity operators: range query and nearest neighbor query. Although many results have been shown in research to answer similarity queries, all use only one distance function to measure the similarity, which must be applicable to all pairs of elements of the set. The goal of this work is to explore the possibility of deal with complex data in metric domains, that uses a suitable distance function, that changes its behavior for certain groups of data, depending of some universal features, allowing them to use specific features of some classes of data, not shared for the entire set. This flexibility will allow to reduce the set of useful features of each element in the set individually, relying in the values obtainded for one or few features extracted in first place. This values will guide the others important features to extract from data.

ASSUNTO(S)

estruturas de indexação métricas múltiplas características múltiplas funções de distância metric space metric access methods multiple features multiple distance functions generic metric domain métodos de acesso access methods espaço métrico domínio métrico generalizável

ACESSO AO ARTIGO

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