Purpose and Scope

This year the theme of Onto.Com will be Foundational Ontologies and their Meta-ontological Choices. Leading ontologists and conceptual modelers will be invited to discuss and comparatively analyze different foundational ontologies, their meta-ontological choices and their associated modeling processes. The workshop will be practically oriented and discussions will be centered on models produced for a common case study. This will facilitate discussions related to the consequences of making different meta-ontological choices.

Formal ontology, whose theoretical underpinnings are grounded in disciplines such as Philosophy, Cognitive Sciences and Linguistics, has led to the development of theoretical foundations for conceptual modeling. In particular, a number of ontological theories such as BORO, BWW, DOLCE, GFO and UFO have been successfully applied to the evaluation of conceptual modeling languages, frameworks and standards (e.g., UML, ORM, ER, REA, TROPOS, ARIS, BPMN, RM-ODP, Archimate, OWL and ISO 15926), and to the development of information systems engineering tools (e.g., methodological guidelines, modeling profiles, design patterns) that contribute to the theory and practice of conceptual modeling and ISE.

Additionally, there has been an increasing interest in the use of empirical studies to assess the impact of the application of these theoretical foundations to the design of conceptual modeling grammars and tools and their application in the development, integration and evolution of information systems. The objective of this workshop is to collect innovative and high-quality research contributions regarding the role played by the aforementioned disciplines to the foundations of conceptual modeling and to the development of information systems.

With this workshop we would like to create a true forum for discussion and, in that spirit, we would like to solicit papers that address specific questions of relevance to body of knowledge of the emerging discipline of Ontology-Driven Conceptual Modeling and Information Systems Engineering.