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Adaptation of Enterprise Modeling Methods for Large Language Models Read chapter Read first chapter

2024 | OriginalPaper | Chapter

Semiautomatic Design of Ontologies

Authors : Michael Grüninger, Amanda Chow, Janette Wong

Published in: The Practice of Enterprise Modeling

Publisher: Springer Nature Switzerland

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Abstract

The design of ontologies is a time-consuming and resource-intensive endeavour. Rather than (manually) design the ontology first and then associate it with data, can we (semiautomatically) design the ontology from the data itself? This paper presents a novel approach to the semi-automated design of ontologies that incorporates axiom generation from data models, semantic parsing, and ontology learning from examples and counterexamples via search through an ontology repository.

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previous chapter Investigating Quality Attributes in Behavior-Driven Development Scenarios: An Evaluation Framework and an Experimental Supporting Tool
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Footnotes
1
A model of a logical theory is a truth assignment for the relations in the signature of the theory that satisfies all sentences in the theory.
 
2
We follow previous work in terminology and notation [9] treating ontologies and their modules as logical theories. We do not distinguish between logically equivalent theories. For every theory T, \(\Sigma (T)\) denotes its signature, which includes all the constant, function, and relation symbols used in T, and \(\mathcal {L}(T)\) denotes the language of T, which is the set of first-order formulæthat only use the symbols in \(\Sigma (T)\).
 
3
The Common Logic axioms for all theories in this Figure can be found at: https://​github.​com/​gruninger/​colore/​tree/​master/​ontologies/​bipartite_​incidence.
 
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Metadata
Title
Semiautomatic Design of Ontologies
Authors
Michael Grüninger
Amanda Chow
Janette Wong
Copyright Year
2024
Book
The Practice of Enterprise Modeling

Print ISBN: 978-3-031-48582-4

Electronic ISBN: 978-3-031-48583-1

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-48583-1_9

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