41st International Conference on Conceptual Modeling (ER 2022) Online (Virtual), October 17-20, 2022
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 2022 is:
Topics of interest span the entire spectrum of conceptual modeling including research and practice in all related areas. Topics include 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. Big data analytics demands modeling complex data into a variety of models and accommodate 5V’s (Volume, Velocity, Variety, Value and Veracity). Can the conceptual modeling community raise to the occasion to meet the Big Data Analytics needs? Conceptual modeling helps deep understanding of data and knowledge that is the backbone of AI systems. The modern Data Driven AI systems have less representation schemes for the input data and the output. Techniques make the conceptual understanding of the data movement through deep learning models help develop and apply these learning models.
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 has provided a LaTeX template in Overleaf for your convenience.
Specific examples of topics of interest include, but are not limited to, conceptual modeling as applied to:
Note: A paper submitted to ER 2022 may not be under review for any other conference or journal during the time it is being considered for ER 2022. Submitted papers must demonstrate awareness of the state-of-the-art literature in conceptual modeling by properly citing relevant papers in the field
The University of Texas at Arlington, USA
IIIT Delhi, India
University of Geneva, Switzerland