Conference Information
ER 2024: International Conference on Conceptual Modeling
https://resources.sei.cmu.edu/news-events/events/er2024/index.cfmSubmission Date: |
2024-05-19 |
Notification Date: |
2024-07-22 |
Conference Date: |
2024-10-28 |
Location: |
Pittsburgh, Pennsylvania, USA |
Years: |
43 |
CCF: c CORE: a QUALIS: a2 Viewed: 32970 Tracked: 42 Attend: 10
Call For Papers
Conceptual Modeling, AI, and Beyond As AI and ML reshape technology, they're also revolutionizing conceptual modeling. We call for papers exploring this change, particularly how AI and ML integrate with and expand conceptual modeling. Submissions should cover established topics like modeling languages, theories, and methods, as well as AI/ML's novel contributions to the field. We encourage papers that push the boundaries of conceptual modeling and demonstrate AI/ML's transformative effects. Contributions should reflect the current state and forecast the future of conceptual modeling, setting the stage for pioneering research. We also invite industry reports, vision papers, and additional “hackathon” papers. Topics of Interest (Not Limited to the Following) 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 in Business, climate, compliance, economics, education, energy, entertainment, government, health, law, sustainability, etc. Collaboration, crowdsourcing, games, and social networks 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 Conceptual modeling for AI and ML Generative AI & Conceptual Modeling AI, data mining, data science, machine learning, or statistics Domain knowledge representation and understanding for ML training Data engineering and domain knowledge engineering for ML training Data quality assurance, compliance, and governance Conceptual modeling and Explainable AI Development of large-language models, foundation models, and federated learning Modeling of relational machine learning incl. graph neural networks, inductive logic programming, and statistical relational learning 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
Last updated by Dou Sun in 2024-04-15
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2005 | 169 | 31 | 18.3% |
2004 | 293 | 57 | 19.5% |
2003 | 153 | 38 | 24.8% |
2002 | 130 | 30 | 23.1% |
2001 | 182 | 39 | 21.4% |
2000 | 140 | 37 | 26.4% |
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
Advances in Bioinformatics | Hindawi | 1687-8027 | ||
Information Fusion | 14.70 | Elsevier | 1566-2535 | |
Discover Applied Sciences | 2.800 | Springer | 3004-9261 | |
AI Communications | 1.400 | IOS Press | 0921-7126 | |
b | IEEE Transactions on Intelligent Transportation Systems | 7.900 | IEEE | 1524-9050 |
c | IEEE Transactions on Sustainable Computing | IEEE | 1536-1233 | |
Computational Statistics & Data Analysis | 1.500 | Elsevier | 0167-9473 | |
c | EURASIP Journal on Information Security | 2.500 | Springer | 1687-417X |
Journal of Intelligent & Fuzzy Systems | 1.700 | IOS Press | 1064-1246 | |
c | Real-Time Systems | 1.400 | Springer | 0922-6443 |
Full Name | Impact Factor | Publisher |
---|---|---|
Advances in Bioinformatics | Hindawi | |
Information Fusion | 14.70 | Elsevier |
Discover Applied Sciences | 2.800 | Springer |
AI Communications | 1.400 | IOS Press |
IEEE Transactions on Intelligent Transportation Systems | 7.900 | IEEE |
IEEE Transactions on Sustainable Computing | IEEE | |
Computational Statistics & Data Analysis | 1.500 | Elsevier |
EURASIP Journal on Information Security | 2.500 | Springer |
Journal of Intelligent & Fuzzy Systems | 1.700 | IOS Press |
Real-Time Systems | 1.400 | Springer |
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