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Author: Joseph E. Johnson

Affiliation: Department of Physics, University of South Carolina, Columbia SC, 29208, United States

Keyword(s): Units, Dimensional Analysis, Metadata, Numerical Uncertainty & Accuracy, Metanumber, Error Management, Data Tags, Numerical Information Standards, Si & Metric Units, Big Data.

Abstract: Numerical measurements have little meaning without the associated units of measurement, level of accuracy, and defining metadata tags. Yet these three associated items are scattered in rows, columns, references, the title, and other positions in data tables separated from the values themselves and usually immersed in unstructured text. Thus unambiguous electronic readability is not possible but requires human preformatting to link these three data components to the value for computer processing. This paper proposes a tight linkage among numerical values, units, accuracy, and meaning as a string expression that provides a numerical standard which we call a “metanumber” along with a set of requirements for this structure. We require that this metanumber string object be instantly readable by both humans and computers. Our work then develops the requisite algorithms for automated computer processing of the metanumber expressions resulting in a new metanumber where (a) all units and dime nsional analysis are automatically processed, (b) numerical accuracy of results are computed, and (c) unlimited metadata tags and structures provide a trace of all historical operations with component meaning providing both the exact evolutionary path of each computed number, and a unique name (as an internet path) for every single measured v4alue. We also propose a flexible table-like structure for archiving all numerical data as metanumbers that allows the automated sharing of data among users. This structure can serve as a foundation for high –speed data exchange removing the costs, errors, and time delays required with human preprocessing and thus serving as a critical component in Big Data processing and as a foundation for advanced artificial intelligence. Other features are explored including an optional proposed expansion of the base units for the SI (metric) system as well as user defined units that are natural for users with commercial, industrial, medical, and scientific problems. These components offer a transformational increase in computational power in every domain of inquiry. (More)

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Paper citation in several formats:
Johnson, J. (2014). A Numerical Data Standard Joining Units, Numerical Accuracy and Full Metadata with Numerical Values. In European Project Space on Computational Intelligence, Knowledge Discovery and Systems Engineering for Health and Sports - EPS Rome; ISBN 978-989-758-154-0, SciTePress, pages 14-30. DOI: 10.5220/0006156400140030

@conference{eps rome14,
author={Joseph E. Johnson.},
title={A Numerical Data Standard Joining Units, Numerical Accuracy and Full Metadata with Numerical Values},
booktitle={European Project Space on Computational Intelligence, Knowledge Discovery and Systems Engineering for Health and Sports - EPS Rome},
year={2014},
pages={14-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006156400140030},
isbn={978-989-758-154-0},
}

TY - CONF

JO - European Project Space on Computational Intelligence, Knowledge Discovery and Systems Engineering for Health and Sports - EPS Rome
TI - A Numerical Data Standard Joining Units, Numerical Accuracy and Full Metadata with Numerical Values
SN - 978-989-758-154-0
AU - Johnson, J.
PY - 2014
SP - 14
EP - 30
DO - 10.5220/0006156400140030
PB - SciTePress