ML Anthology

Modeling Abstract Algebra as an OWL Ontology (Student Abstract)

Michael Vance
AAAI 2022 pp. 13071-13072
doi:10.1609/AAAI.V36I11.21672 /aaai/2022/vance2022aaai-modeling/

Abstract

Description logic ontologies serve to model classifications and structural relationships, and to represent and reason about domain knowledge. Modeling the basic classification of abstract algebraic structures as an ontology demonstrates the difficulties presented by their logical semantics, and shed light on the limitations to accurately model further topics in algebra and related mathematical domains.

PDF AAAI Semantic Scholar

Cite

Text

Vance. "Modeling Abstract Algebra as an OWL Ontology (Student Abstract)." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21672

Markdown

[Vance. "Modeling Abstract Algebra as an OWL Ontology (Student Abstract)." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/vance2022aaai-modeling/) doi:10.1609/AAAI.V36I11.21672

BibTeX

@inproceedings{vance2022aaai-modeling,
  title     = {{Modeling Abstract Algebra as an OWL Ontology (Student Abstract)}},
  author    = {Vance, Michael},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {13071-13072},
  doi       = {10.1609/AAAI.V36I11.21672},
  url       = {https://mlanthology.org/aaai/2022/vance2022aaai-modeling/}
}