Researcher in Ontology-Driven Software Engineering for Architectural Ontology Reuse Recommendation System Development

Researcher in Ontology-Driven Software Engineering for Architectural Ontology Reuse Recommendation System Development

University of Twente - Faculty of Electrical Engineering, Mathematics and Computer Science (EWI)

Enschede, Netherlands

€ 3,546 - € 4,901 per month gross

Onto4Reuse is a service-oriented framework that supports the systematic reuse of standardised ontologies, bridging enterprise architecture and ontology-based software engineering. Rather than relying on individual expertise, the framework operationalises ontology reuse as an explicit architectural activity by guiding architects through the identification, selection, alignment, and modularization of (standardised) ontologies.

Central to the framework is the Architectural Ontology Recommendation Service, which leverages Enterprise Architecture models (e.g., ArchiMate and EIRA) to derive semantic requirements from stakeholders’ goals, requirements, business objects, and integration patterns. By orchestrating a set of interconnected services the framework provides traceable recommendations for reusable ontologies that are aligned with architectural decisions and enterprise objectives, ultimately promoting semantic interoperability in distributed systems.

The project “Onto4Reuse: Empowering IT Architects for interoperability challenges of distributed systems via reuse of standardised ontologies” aims to develop and integrate Onto4Reuse framework to support master students in addressing real-world challenges related to distributed systems, standards, and semantic interoperability.

Your profile

You are enthusiastic about software engineering, particularly software architecture and applied research and possess the following qualifications:

• A Master’s degree in Computer Science, Business Information Technology, Software Engineering, Information Systems, or a related field;
• Experience with software architecture design and implementation, and ontology engineering;
• Strong analytical and problem-solving skills;
• An interest in educational innovation and interdisciplinary collaboration;
• Excellent communication skills and proficiency in English.