Abstract
Industrial data is codified most of the times from different human languages and is supported in different databases systems and applications for industrial environments. Information retrieval, and knowledge can be done, if we have a human point of abstraction of data (Laudon, 1999). According to Fayyad (Fayyad et at, 1996), an understanding of the domain, extended database must exist with meaningful information. Using this assumption, we create an extended database, with two types of information: human knowledge of the fields and what kind of technique must be used to access data. With an easy human interface, we can model an accurate document system for industrial environments.
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Lopes, E.R., Mourinho, N.G., Castela, N., Guerra, A. (2004). Understanding Data in Industrial Environments. In: Ferreira, J.J.P. (eds) E-Manufacturing: Business Paradigms and Supporting Technologies. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8945-1_16
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DOI: https://doi.org/10.1007/978-1-4419-8945-1_16
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