To be held in conjunction with the 43th International Conference on Conceptual Modeling, ER 2024
To be held in conjunction with the 43th International Conference on Conceptual Modeling, ER 2024
Pittsburgh, Pennsylvania
28-31 October 2024
Overview
Machine learning techniques are widely used in software development for various applications. This workshop focuses on machine learning approaches in seeking semantics and building conceptual modeling for various datasets such as text, image, video, stream data, drone or satellite data, GIS, etc.
AIMM 2024 aims to tackle research problems and practical applications for machine learning applications. Researchers and practitioners are invited to submit papers on the theoretical, technical, and practical issues of machine learning and its applications. We are particularly interested in applying machine learning techniques to specific application domains (e.g., e-learning, e-business, social networks, geographic information systems, medical informatics, bioinformatics, cyber-physical systems, etc.).
Topics
AI-Driven data systems
AI-enabled data platforms
AI-enabled question-answering
AI-enabled data platforms
Large language models (LLMs) applications
Data processing for LLMs
Applications of LLMs for real-world applications
The ethical and societal implications of LLMs
E-learning, e-business, medical informatics, bioinformatics, and legal domains
Anomaly/Outlier detection
Fairness, Bias, and Ethical issues
AI-driven Conceptual modeling
Semantic interoperability
Ontology, Taxonomy, and Folksonomy
Ontology generation/learning
Building/utilizing ontologies and knowledge bases
Semantics and ontologies in data integration
Ontology-enabled search (engines)
Knowledge graph and applicationsPersonalization
User modeling
Recommender systems
Data analytics