C-OWL: Contextualizing Ontologies1

C-OWL: Contextualizing ontologies

Contextualizing ontologies

Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party’s subjective view of a domain. In this paper we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide. We say that an ontology is contextualized or, also, that it is a con...

C-OWL: Contextualizing Ontologies

Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party’s subjective view of a domain. In this paper we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide. We say that an ontology is contextualized or, also, that it is a con...

From Justifications Towards Proofs for Ontology Engineering

Over the past few years there has been a significant amount of interest in the area of explaining entailments in OWL ontologies1. Without some kind of tool support, it can be very difficult, or even impossible, to work out why entailments arise in ontologies. Even in small ontologies that only contain tens of axioms, there can be multiple reasons for an entailment, none of which may be obvious....

A method to map heterogeneity between near but non-equivalent semantic attributes in multiple health data registries

Health registries from multiple jurisdictions often include terms that are assumed to be semantically equivalent (e.g. fetal death and stillbirth). Closer examination reveals that such attributes have near--but non-equivalent--semantics. Thus their degree of semantic heterogeneity is an important indicator of uncertainty associated with data integration between registries. We build an OWL-encod...