Call for Papers

Call for Papers

We solicit submission of original research, as well as experience and vision papers, from both researchers and practitioners, welcoming any topic where conceptual modeling is a major theme. Submissions that draw attention to the role conceptual modeling can play in areas where it has not traditionally been applied are especially welcome, since the overall theme of ER 2021 is:

 

Conceptual Modeling in an Age of Uncertainty

 

Topics of interest span the entire spectrum of conceptual modeling including research and practice in areas such as theories of concepts and ontologies underlying conceptual modeling, modeling languages, methods and tools for developing and communicating conceptual models, and techniques for transforming conceptual models into effective implementations.

Authors of selected papers may be invited to submit extended versions of their papers for review and possible publication in Data & Knowledge Engineering. In addition, authors of papers related to BPMN may be invited to submit extended versions of their work for consideration for a special issue of Business & Information Systems Engineering.

Since the proceedings will be published by Springer in the LNCS series, authors must submit manuscripts using the LNCS style (see style files and details​). The page limit for submitted papers (as well as for final, camera-ready papers) is 14. Manuscripts not submitted in the LNCS style or exceeding the page limit will not be reviewed and will be automatically rejected. Springer provides a LaTeX and Word template​ for your convenience.


A paper submitted to ER 2021 may not be under review for any other conference or journal during the time it is being considered for ER 2021. Submitted papers must demonstrate awareness of the state-of-the-art literature in conceptual modeling by properly citing relevant papers in the field.

Topics of Interest

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

 

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

 

Engineering
  • 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
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

 

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
Experience
  • Empirical Studies of Conceptual Modeling
  • Experience Applying Conceptual Modeling

ER 2021 Awards

There will be two awards given to authors at ER 2021

 

  • Best Student Paper Award: to be given to the best paper whose first author is a student
  • Best Paper Award: to be given to the best paper

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