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