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Data modelling versus ontology engineering
TLDR
We introduce the DOGMA ontology engineering approach that separates "atomic" conceptual relations from "predicative" domain rules that supports and favours the genericity of an ontology. Expand
On Using Conceptual Data Modeling for Ontology Engineering
TLDR
This paper tackles two main disparities between conceptual data schemes and ontologies, which should be taken into account when (re)using conceptual data modeling techniques for building ontologies. Expand
Ontology Engineering - The DOGMA Approach
TLDR
This chapter presents a methodological framework for ontology engineering (called DOGMA), which is aimed to guide ontology builders towards building ontologies that are both highly reusable and usable, easier to build and to maintain. Expand
Mapping ORM into the SHOIN/OWL Description Logic - Towards a Methodological and Expressive Graphical Notation for Ontology Engineering
TLDR
We map ORM into the SHOIN/OWL, which is the most common description logic in ontology engineering. Expand
A Query Formulation Language for the Data Web
TLDR
We present a query formulation language (called MashQL) in order to easily query and fuse structured data on the web. Expand
Formal Ontology Engineering in the DOGMA Approach
TLDR
This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semantics for a real world domain. Expand
Position paper: towards the notion of gloss, and the adoption of linguistic resources in formal ontology engineering
TLDR
In this paper, we first introduce the notion of gloss for ontology engineering purposes. Expand
Towards Automated Reasoning on ORM Schemes
TLDR
We formalize Object Role Modeling using the \(\mathcal{DLR}\) description logic. Expand
Unsatisfiability Reasoning in ORM Conceptual Schemes
TLDR
In this paper, we revisit existing patterns from literature that indicate unsatisfiability of ORM schemes, and propose refinements as well as additions for them. Expand
Towards Methodological Principles for Ontology Engineering.
TLDR
We present methodological principles for ontology engineering to guide ontology builders towards building ontologies that are both highly reusable and usable, easier to build, and smoother to maintain. Expand
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