A Theory of Conversion Relations for Prefixed Units of Measure

๐Ÿ“… 2022-12-22
๐Ÿ“ˆ Citations: 0
โœจ Influential: 0
๐Ÿ“„ PDF
๐Ÿค– AI Summary
To address semantic modeling and automatic conversion of prefixed units, this paper introduces the first unified formal semantic model grounded in category and group theory: it jointly models unit prefixes, base units, and conversion rules as a ternary relation endowed with both group and category structures, and defines natural and accidental semantic operations; based on this, it establishes a hierarchy of subclasses with progressively strengthened algebraic properties. Key contributions include: (1) the first unit-semantic framework integrating category theory and group theory, enabling unified characterization of prefixed units and conversion rules; (2) a classification system for conversion relations with well-defined algebraic properties; and (3) a symbolic, deterministic, polynomial-time rewriting-based conversion algorithm that eliminates reliance on lookup tables and supports rigorously verifiable unit reasoning.
๐Ÿ“ Abstract
Units of measure with prefixes and conversion rules are given a formal semantic model in terms of categorial group theory. Basic structures and both natural and contingent semantic operations are defined. Conversion rules are represented as a class of ternary relations with both group-like and category-like properties. A hierarchy of subclasses is explored, each satisfying stronger useful algebraic properties than the preceding, culminating in a direct efficient conversion-by-rewriting algorithm.
Problem

Research questions and friction points this paper is trying to address.

Formalizes semantic model for prefixed units
Defines conversion rules as ternary relations
Develops efficient algorithm for unit conversion
Innovation

Methods, ideas, or system contributions that make the work stand out.

Formal semantic model using categorial group theory
Conversion rules as ternary relations with algebraic properties
Hierarchy of subclasses enabling efficient rewriting algorithm
๐Ÿ”Ž Similar Papers
2024-08-14Workshop on Beyond Time and Errors: Novel Evaluation Methods for VisualizationCitations: 5
๐Ÿ’ผ Related Jobs
No related jobs found.
Technische Hochschule Brandenburg | semantics gGmbH
B
B. T. Widemann
Technische Hochschule Brandenburg, Brandenburg an der Havel, DE
M
M. Lepper
semantics gGmbH, Berlin, DE