# A Survey of Syntactic Modelling Structures in Biomedical Ontologies

arXiv: https://arxiv.org/abs/2207.14119 · HTML: https://mlsanity.com/paper/2207.14119/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 25 references that are in the map.
- First posted on arXiv 28 Jul 2022.

## Builds on (most cited first, 1 of 1)

- [A pattern-driven approach to biomedical ontology engineering](https://mlsanity.com/paper/1312.0465/) (2013)

## Built on by (most cited first, 1 of 1)

- [Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and beyond)](https://mlsanity.com/paper/2312.10857/) (2023)

## Abstract (arXiv)

Despite the large-scale uptake of semantic technologies in the biomedical domain, little is known about common modelling practices in published ontologies. OWL ontologies are often published only in the crude form of sets of axioms leaving the underlying design opaque. However, a principled and systematic ontology development life cycle is likely to be reflected in regularities of the ontology's emergent syntactic structure. To develop an understanding of this emergent structure, we propose to reverse-engineer ontologies taking a syntax-directed approach for identifying and analysing regularities for axioms and sets of axioms. We survey BioPortal in terms of syntactic modelling trends and common practices for OWL axioms and class frames. Our findings suggest that biomedical ontologies only share simple syntactic structures in which OWL constructors are not deeply nested or combined in a complex manner. While such simple structures often account for large proportions of axioms in a given ontology, many ontologies also contain non-trivial amounts of more complex syntactic structures that are not common across ontologies.