Bridging metamodels and ontologies in software engineering

Elsevier Inc.
Publication Type:
Journal Article
Journal of Systems and Software, 2011, 84 (2), pp. 301 - 313
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009008406OK.pdf864.36 kB
Adobe PDF
Over the last several years, metamodels and ontologies have been developed in parallel isolation. Ontological thinking, largely from the research field of artificial intelligence, has been increasingly investigated by software engineering researchers, more familiar with the idea of a metamodel. Here, we investigate the literature on both metamodelling and ontologies in order to identify ways in which they can be made compatible and linked in such a way as to benefit both communities and create a contribution to a coherent underpinning theory for software engineering. Analysis of a large number of theoretical and semi-theoretical approaches using as a framework a multi-level modelling construct identifies strengths, weaknesses, incompatibilities and inconsistencies within the extant literature. A metamodel deals with conceptual definitions while an ontology deals with real-world descriptors of business entities and is thus better named âdomain ontologyâ . A specific kind of ontology (foundational or high-level) provides âmetalevelâ concepts for the domain ontologies. In other words, a foundational ontology may be used at the same abstraction level as a metamodel and a domain ontology at the same abstractionlevel as a (design) model, with each pair linked via an appropriate semantic mapping.
Please use this identifier to cite or link to this item: