Modelling Expressions of Physical Quantities

Blair D. Hall

2023

Abstract

To express a quantity in conventional scientific notation, a number is paired with a unit of measurement, like 10 m/s -1 . However, this notation can be ambiguous and may require people to understand the context in order to resolve interpretation difficulties. Also, the notation is intended to describe a certain type of scientific data and is ill-equipped to express other kinds of measurement results. This paper discusses an alternative formalism that is suitable for digital systems and overcomes many of the difficulties associated with conventional written notation. We present the proposal using modelling elements that are closely related to scientific concepts that underpin a wide range measurements. The alternative format for expressions is a triplet: a number and a pair of references to information stored centrally. The mathematical properties of data and, in a general sense, the property that is measured, can be captured in this extended format.

Paper Citation

in Harvard Style

D. Hall B. (2023). Modelling Expressions of Physical Quantities. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 216-223. DOI: 10.5220/0012190300003598

in Bibtex Style

@conference{keod23,
author={Blair D. Hall},
title={Modelling Expressions of Physical Quantities},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={216-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012190300003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Modelling Expressions of Physical Quantities
SN - 978-989-758-671-2
AU - D. Hall B.
PY - 2023
SP - 216
EP - 223
DO - 10.5220/0012190300003598
PB - SciTePress