Key research themes
1. How can collaborative semantic wiki platforms facilitate group-based digital knowledge engineering?
This research theme investigates the design, implementation, and evaluation of semantic wiki systems tailored to support collaborative knowledge engineering (CKE). Such systems aim to enable domain experts and knowledge engineers to jointly create, annotate, reason about, and manage knowledge bases via wiki-based groupware. The focus is on methods to integrate semantic annotations, formal rules, and software engineering practices into user-friendly, distributed collaborative platforms to enhance knowledge quality and accessibility in digital knowledge engineering projects.
2. What methodologies, tools, and frameworks underpin ontology engineering for digital knowledge representation and reuse?
This theme focuses on the principles, methods, and technological support for the formal construction, management, and application of ontologies as shared, reusable conceptualizations in digital knowledge engineering. It encompasses methodological frameworks for ontology lifecycle management, ontology languages and formalisms, and software tools facilitating ontology development and deployment. The importance lies in enabling effective semantic interoperability, knowledge reuse, and automated reasoning across diverse domains in digital knowledge systems.
3. How can digital knowledge engineering frameworks integrate machine learning and knowledge management to enhance competencies and repository systems?
This theme examines the synthesis of digital knowledge engineering with machine learning (ML) techniques and knowledge repository management to improve the development, storage, retrieval, and application of expertise in digital environments. Focus is on architectures and procedural frameworks that enable dynamic knowledge verification, reuse, and competency enhancement through AI-supported methods. These integrated frameworks aim to advance digital skillsets, especially in domains like software engineering and digital entrepreneurship, by leveraging automated knowledge processing and management.