(not exhaustive)
- Ontology-based foundations for database conceptual modeling
- Knowledge representation and shared vocabularies in data-intensive systems
- Semantic enrichment of traditional data models
- Ontologies versus Entity–Relationship and relational modeling approaches
- Data integration and interoperability across heterogeneous data sources
- Management of semantic heterogeneity in complex information systems
- Collaboration between domain experts and ontologists in conceptual modeling
- Emerging frameworks for ontology integration with databases
