The unified software development process
The unified software development process
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Towards Ontological Foundations for UML Conceptual Models
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Ontologies for Software Engineering and Software Technology
Ontologies for Software Engineering and Software Technology
The development of an ontology-based expert system for corporate financial rating
Expert Systems with Applications: An International Journal
A software engineering approach to ontology building
Information Systems
Development of a peer-to-peer information sharing system using ontologies
Expert Systems with Applications: An International Journal
A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluation of the OQuaRE framework for ontology quality
Expert Systems with Applications: An International Journal
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Ontology development techniques still constitute an open research area despite its importance in semantic aware information systems. Until now, most methods have used UML in supporting ontology development process. Recent works propose the mapping of business rules expressions to ontology statements as a building technique by means of SBVR language. However, there is still no experimental research comparing such approaches. Aim of this work is to evaluate the feasibility of mapping business domain expressions to ontology statements. An exploratory experiment comparing performance of techniques based on UML and SBVR languages is presented. Comparison is rooted in the quality assessment of the ontologies developed by 10 equally sized groups randomly conformed by 30 undergraduate engineering students and applying such techniques. Developed ontologies largely outperform the minimally acceptable quality, according to the considered quality assessment framework. There is no statistical significant difference between the quality scores of the ontologies developed by means of UML and SBVR techniques, in any of the assessed quality dimensions. The feasibility of mapping business domain expressions to ontology statements is shown: ontologies developed by means of a SBVR based approach at least equate the quality of ontologies developed by using an UML based method. Results confirm previous research about the effectiveness of UML approaches for conceptualizing lightweight ontologies while stressing the potential of the SBVR language to express complex notions of a domain of interest. The potential of SBVR to OWL 2 mappings as an ontology development technique worthy of further study is highlighted.