English

Rule-based OWL Modeling with ROWLTab Protege Plugin

Artificial Intelligence 2018-08-31 v1 Databases Logic in Computer Science

Abstract

It has been argued that it is much easier to convey logical statements using rules rather than OWL (or description logic (DL)) axioms. Based on recent theoretical developments on transformations between rules and DLs, we have developed ROWLTab, a Protege plugin that allows users to enter OWL axioms by way of rules; the plugin then automatically converts these rules into OWL 2 DL axioms if possible, and prompts the user in case such a conversion is not possible without weakening the semantics of the rule. In this paper, we present ROWLTab, together with a user evaluation of its effectiveness compared to entering axioms using the standard Protege interface. Our evaluation shows that modeling with ROWLTab is much quicker than the standard interface, while at the same time, also less prone to errors for hard modeling tasks.

Cite

@article{arxiv.1808.10108,
  title  = {Rule-based OWL Modeling with ROWLTab Protege Plugin},
  author = {Md. Kamruzzaman Sarker and Adila Krisnadhi and David Carral and Pascal Hitzler},
  journal= {arXiv preprint arXiv:1808.10108},
  year   = {2018}
}

Comments

Accepted at ESWC 2017

R2 v1 2026-06-23T03:48:43.524Z