Generating Ontologies from Templates: A Rule-Based Approach for Capturing Regularity
Artificial Intelligence
2018-09-28 v1
Abstract
We present a second-order language that can be used to succinctly specify ontologies in a consistent and transparent manner. This language is based on ontology templates (OTTR), a framework for capturing recurring patterns of axioms in ontological modelling. The language and our results are independent of any specific DL. We define the language and its semantics, including the case of negation-as-failure, investigate reasoning over ontologies specified using our language, and show results about the decidability of useful reasoning tasks about the language itself. We also state and discuss some open problems that we believe to be of interest.
Cite
@article{arxiv.1809.10436,
title = {Generating Ontologies from Templates: A Rule-Based Approach for Capturing Regularity},
author = {Henrik Forssell and Christian Kindermann and Daniel P. Lupp and Uli Sattler and Evgenij Thorstensen},
journal= {arXiv preprint arXiv:1809.10436},
year = {2018}
}
Comments
Technical report, extended version of paper accepted to DL Workshop 2018