Software Abstractions: Logic, Language, and Analysis
Software Abstractions: Logic, Language, and Analysis
Representing and reasoning over a taxonomy of part-whole relations
Applied Ontology - Ontological Foundations of Conceptual Modelling
Ontological foundations for conceptual modelling
Applied Ontology - Ontological Foundations of Conceptual Modelling
What's in a Relationship: An Ontological Analysis
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
On Ontology, ontologies, Conceptualizations, Modeling Languages, and (Meta)Models
Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006
The Problem of Transitivity of Part-Whole Relations in Conceptual Modeling Revisited
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Assessing Modal Aspects of OntoUML Conceptual Models in Alloy
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
Expressing action assertions in foundational-based domain ontologies
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
A reference profile ontology for communities of practice
International Journal of Metadata, Semantics and Ontologies
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Ontologies are commonly used in computer science either as a reference model to support semantic interoperability, or as an artifact that should be efficiently represented to support tractable automated reasoning. This duality poses a tradeoff between expressivity and computational tractability that should be addressed in different phases of an ontology engineering process. The inadequate choice of a modeling language, disregarding the goal of each ontology engineering phase, can lead to serious problems in the deployment of the resulting model. This article discusses these issues by making use of an industrial case study in the domain of Oil and Gas. The authors make the differences between two different representations in this domain explicit, and highlight a number of concepts and ideas that were implicit in an original OWL-DL model and that became explicit by applying the methodological directives underlying an ontologically well-founded modeling language.