A Numerical Data Standard Joining Units, Numerical Accuracy and Full Metadata with Numerical Values

Joseph E. Johnson

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 dimensional 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.

References

  1. Johnson, Joseph E., 2009, Dimensional Analysis, Primary Constants, Numerical Uncertainty and MetaData Software”, American Physical Society AAPT Meeting, USC Columbia SC
  2. Leibigot, Eric O., 2014, A Python Package for Calculations with Uncertainties, http://pythonhosted.org/uncertainties/.
  3. Johnson, Joseph E., 2013, The Problem with Numbers - MetaNumbers - A Proposed Standard for Integrating Units, Uncertainty, and MetaData with Numerical Values, USC Physics Colloquium
  4. Johnson, Joseph E., 2014, New Software Developed for Interdisciplinary Data Sharing and Computation: Units, Uncertainty, & Metadata, USC School of the Earth, Ocean, and Environment Colloquium
  5. Johnson, Joseph E. 1985 US Registered Copyrights TXu 149-239, TXu 160-303, & TXu 180-520
  6. Johnson, Joseph E, Ponci, F. 2008 Bittor Approach to the Representation and Propagation of Uncertainty in Measurement, AMUEM 2008 International Workshop on Advanced Methods for Uncertainty Estimation in Measurement, Sardagna, Trento Italy
  7. Johnson, Joseph E., 2006 Apparatus and Method for Handling Logical and Numerical Uncertainty Utilizing Novel Underlying Precepts US Patent 6,996,552 B2.
  8. Johnson, Joseph E. 1985, Markov-Type Lie Groups in GL(n,R) Journal of Mathematical Physics. 26 (2) 252-257
  9. Johnson, Joseph E. 2005 Networks, Markov Lie Monoids, and Generalized Entropy, Computer Networks Security, Third International Workshop on Mathematical Methods, Models, and Architectures for Computer Network Security, St. Petersburg, Russia, Proceedings, 129-135US
  10. Johnson, Joseph E. 2012 Methods and Systems for Determining Entropy Metrics for Networks US Patent 8271412
  11. Johnson, Joseph E, & Cambell, William 2014, A Mathematical Foundation for Networks with Cluster Identification, KDIR Conference Rome Italy
  12. Johnson, Joseph E. 2014, A Numeric Data-Metadata Standard Joining Units, Numerical Uncertainty, and Full Metadata to Numerical Values, EOS KDIR Conference Rome Italy
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Paper Citation


in Harvard Style

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, pages 14-30. DOI: 10.5220/0006156400140030


in Bibtex Style

@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},
}


in EndNote Style

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