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A Standard Naming Method of Data Elements Using a Semantic Dictionary

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Book cover Database and Expert Systems Applications

Abstract

This paper describes the problems in naming data elements and offers solutions to these problems. When using the popular Durell’s Naming Standard, it is difficult to compile a semantic dictionary necessary for that standard manually because there is no clear criterion for word segmenting and for deciding word types. As a result, the reliability of the dictionary suffers and the results of checking by Durell’s Naming Standard with this dictionary are not good enough. We have developed a tool for the automatic construction of the semantic dictionary that utilizes a natural language processing system named INDEXER. This tool eliminates the errors in the dictionary. Using it, non-specialists can compile a reliable, consistent dictionary automatically. We also augment Durell’s Naming Standard which allows us to naturally name our own data elements.

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References

  1. Durell, W.R.: Data Administration, McGraw-Hill, Inc., 1985.

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  2. Kimoto, H.: Natural Language Processing and its Application to Japanese Database — the INDEXER system, in the Proceedings of the 3rd International Conference on Japanese Information in Science, Technology and Commerce, Vandoeuvreles-Nancy, France, INIST, pp. 447-460, May, 1991.

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  3. Newton, J. J.: Guide on Data Entity Naming Conventions, NBS Special Publication, 500-149, 1987.

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© 1992 Springer-Verlag/Wien

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Sekine, J., Nakagawa, M., Kimoto, H., Kurokawa, K. (1992). A Standard Naming Method of Data Elements Using a Semantic Dictionary. In: Tjoa, A., Ramos, I. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7557-6_29

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  • DOI: https://doi.org/10.1007/978-3-7091-7557-6_29

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82400-9

  • Online ISBN: 978-3-7091-7557-6

  • eBook Packages: Springer Book Archive

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