Modular Structures and Atomic Decomposition in Ontologies

Abstract

With the growth of ontologies used in diverse application areas, the need for module extraction and modularisation techniques has risen. The notion of the modular structure of an ontology, which comprises a suitable set of base modules together with their logical dependencies, has the potential to help users and developers in comprehending, sharing, and maintaining an ontology. We have developed a new modular structure, called atomic decomposition (AD), which is based on modules that provide strong logical properties, such as locality-based modules. In this article, we present the theoretical foundations of AD, review its logical and computational properties, discuss its suitability as a modular structure, and report on an experimental evaluation of AD. In addition, we discuss the concept of a modular structure in ontology engineering and provide a survey of existing decomposition approaches.

Cite

Text

Del Vescovo et al. "Modular Structures and Atomic Decomposition in Ontologies." Journal of Artificial Intelligence Research, 2020. doi:10.1613/JAIR.1.12151

Markdown

[Del Vescovo et al. "Modular Structures and Atomic Decomposition in Ontologies." Journal of Artificial Intelligence Research, 2020.](https://mlanthology.org/jair/2020/vescovo2020jair-modular/) doi:10.1613/JAIR.1.12151

BibTeX

@article{vescovo2020jair-modular,
  title     = {{Modular Structures and Atomic Decomposition in Ontologies}},
  author    = {Del Vescovo, Chiara and Horridge, Matthew and Parsia, Bijan and Sattler, Uli and Schneider, Thomas and Zhao, Haoruo},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {2020},
  pages     = {963-1021},
  doi       = {10.1613/JAIR.1.12151},
  volume    = {69},
  url       = {https://mlanthology.org/jair/2020/vescovo2020jair-modular/}
}