Towards a Metadata Management System for Provenance, Reproducibility and Accountability in Federated Machine Learning.
José Antonio Peregrina PérezGuadalupe OrtizChristian ZirpinsPublished in: ESOCC Workshops (2022)
Keyphrases
- metadata
- management system
- machine learning
- digital libraries
- pattern recognition
- earth science data
- learning tasks
- learning resources
- dublin core
- active learning
- machine learning methods
- artificial intelligence
- structured data
- metadata extraction
- decision support system
- databases
- using semantic web technologies
- learning objects
- multimedia content
- metadata management
- feature selection
- multimedia
- knowledge discovery
- data analysis
- natural language processing
- inductive learning
- computer vision
- decision trees
- machine learning approaches
- semantic web technologies
- information resources
- natural language
- information extraction
- support vector machine
- cultural heritage
- fine grained
- provenance information
- database systems
- model selection
- data provenance
- knowledge acquisition
- supervised learning
- distributed systems