Reconhecendo Padrões em Planilhas no domínio de uso da Biologia

Ivelize Rocha BernardoAndré SantanchèMaria Cecília Calani Baranauskas

Most of research data handled by biologists are in electronic spreadsheets, which are easy to implement as isolated entities, but are inappropriate for integration with other data sources or for enhanced queries. Several initiatives aim to interpret implicit schemas of spreadsheets, making them explicit, in order to drive their mapping process to open standards of interoperability. However, such process is detached of the spreadsheet creation context. In this paper we present a strategy for characterizing spreadsheets, centered in their creation context, and we investigate how this characterization can be used to improve an automated interpretation and mapping process of their respective schemas in the Biology usage domain.

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