The International Conference on Conceptual Modeling is the main international forum for discussing the state of the art, emerging issues, and future challenges in research and practice on conceptual modeling. 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, techniques for transforming conceptual models into effective implementations, and methods and tools for developing and communicating conceptual models.

Submission Guidelines

See the conference's website for all the possible kinds of participations and submissions...

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). Springer has provided a LaTeX template in Overleaf for your convenience.

The authors of selected papers will be invited to prepare a substantially revised and extended version to a Special Issue in Elsevier’s Data & Knowledge Engineering (JCR 2020 Impact Factor 1.992).

List of Topics

Specific examples of relevant topics include but are not limited to:

Foundations of conceptual modeling: 

• Automated and AI-assisted conceptual modeling
• Complexity management of large conceptual models 
• Concept formalization, including data manipulation languages and techniques, formal concept analysis, and integrity constraints
• Domain-specific modeling
• Discovery of models, (anti-)patterns, and structures
• Evolution, exchange, integration and transformation of models
• Justification and evaluation of models 
• Logic-based knowledge representation and reasoning
• Multi-level and multi-perspective modeling 
• Ontological and cognitive foundations
• Quality paradigms and metrics
• Semantics in conceptual modeling
• Theories and methodologies for conceptual modeling
• Verification and validation of conceptual models

Conceptual modeling for:

• Data access, acquisition, integration, maintenance, preparation, transformation, and visualization 
• Data management, including database design, performance optimization, privacy and security, provenance, transactions, queries
• Data value, variety, velocity, veracity, volume, and other dimensions 
• Distributed, decentralized, ledger-based, parallel and P2P databases
• Graph and network databases
• Object-oriented and object-relational databases 
• SQL, NewSQL and NoSQL databases
• Spatial and temporal databases
• Event-based and stream architectures
• Multimedia and text databases
• Approximate, probabilistic, and uncertain databases
• Web, Semantic Web, knowledge graphs, and cloud databases
• Other data spaces

Conceptual modeling in:

• AI, data mining, data science, machine learning, or statistics
• Business, climate, compliance, economics, education, energy, entertainment, government, health, law, sustainability, etc
• Collaboration, crowdsourcing, games, and social networks 
• Business intelligence and analytics, Data warehousing 
• Engineering, such as agile development, requirements engineering, reverse engineering
• Enterprises, including the modeling of business rules, capabilities, goals, services, processes, and values 
• Ethics, fairness, responsibility, or trust 
• Digital twins, fog and edge computing, Industry 4.0, internet of things 
• Information classification, filtering, retrieval, summarization, and visualization
• Scientific data management, including FAIR practices

Conceptual modeling showcased by:

• Computational tools that advance the state-of-the-art
• Empirical studies 
• Experience reports of applications, use cases, and real-world impact

Publication

proceedings will be published by Springer in the LNCS series

Venue

ER 2023 will be held in Lisbon, Portugal, at the Congress Center of the Instituto Superior Técnico located in Alameda, in the heart of Lisbon.

Contact

See the conference's website for all the details: https://er2023.inesc-id.pt/

All questions should be emailed to er2023conference (AT) gmail.com