Topics of Interest

Topics of Interest

Specific examples of topics of interest include, but are not limited to, conceptual modeling as applied to:


  • Foundations and Concept Formalization
  • Ontological and Cognitive Foundations for Conceptual Modeling
  • Multi-level Modeling
  • Justification and Evaluation of Models
  • Empirical Studies of Conceptual Modeling
  • Experience Applying Conceptual Modeling


Business Information Systems
  • Enterprise Models
  • Enterprise Architectures
  • Service-Oriented Architectures
  • Business Process Modeling
  • Models at Runtime
  • Models to Support IT Management
  • Modeling Distributed Ledger Systems
  • Agile Development
  • Interleaving Modeling and Development
  • Domain Specific Conceptual Modeling Languages, Methods, and Frameworks
  • Requirements Engineering
  • Reverse Engineering and Round-Trip Engineering
  • Patterns and Reuse
  • Methodologies and Tools for Conceptual Design
  • Quality and Metrics of Conceptual Models


Advanced and Cross-Disciplinary Applicatons
  • Economics and Conceptual Models
  • Conceptual Models and Machine Learning
  • Conceptual Models and Decision Making
  • Industry 4.0, Factory of the Future and Internet of Things
  • Bioinformatics, Ambient Assistance
  • Cyber Security and Privacy
  • Role of Conceptual Modeling in Social Networks, Mobile Computing, Deep Learning, Internet of Objects, Serious Games and Pedagogical Models, etc.
  • Semantic Web, Cloud Computing, and Web Information Systems
  • Information Retrieval, Filtering, Classification, Summarization, and Visualization
Data/Object Management
  • Data Semantics and Integrity Constraints
  • Integration of Conceptual Models and Database Schemas
  • Schema Evolution and Management of Database Constraints
  • NoSQL and NewSQL Databases
  • Big Data and Conceptual Modeling
  • Data Warehousing, Data Mining, Business Intelligence and Analytics
  • Spatial, Temporal, and Multimedia Aspects in Conceptual Models
  • Metadata and Applications
  • Semi-structured Data and XML

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