Advances in Conceptual Modeling

Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making (CMAI) 2020.- How to Induce Trust in Medical AI Systems.- Towards Automated Support for Conceptual Model Diagnosis and Repair.- Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI.- Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter.- Conceptual Modeling for Life Sciences (CMLS) 2020.- The Importance of the Temporal Dimension in Identifying Relevant Genomic Variants: a Case Study.- Towards the Generation of a Species-Independent Conceptual Schema of the Genome.- Conceptual Human Emotion Modeling (HEM).- Towards an Ontology for Tertiary Bioinformatics Research Process.- Using BioPAX-Parser (BiP) to annotate lists of biological entities with pathway data.- Relational Text-type for Biological Sequences.- Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible,Interoperable and Reusable (FAIR) Data (CMOMM4FAIR) 2020.- Mapping the Web Ontology Language to the OpenAPI Specification.- Evaluating FAIRness of Genomic Databases.- Reusable FAIR Implementation Pro les as Accelerators of FAIR Convergence.- Conceptual Modeling for NoSQL Data Stores (CoMoNoS) 2020.- Deimos: A Model-based NoSQL Data Generation Language.- Managing Physical Schemas in MongoDB Stores.- JSON Schema Inference Approaches.- Empirical Methods in Conceptual Modeling (EmpER) 2020.- Empirical evaluation of a new DEMO modelling tool that facilitates model transformations.- Acquiring and sharing the monopoly of legitimate naming in organizations, an application in conceptual modeling.- Replicability and Reproducibility of a Schema Evolution Study in Embedded Databases.- Challenges in Checking JSON Schema Containment over Evolving Real-World Schemas.- Experimental practices for measuring the intuitive comprehensibility of modeling constructs: an example design.