SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.
Haoyu RenKirill DorofeevDarko AnicicYoussef HammadRoland EcklThomas A. RunklerPublished in: ISWC (2022)
Keyphrases
- machine learning
- maximum likelihood
- artificial intelligence
- management system
- computer science
- natural language
- machine learning methods
- software engineering
- machine learning algorithms
- semantic information
- engineering design
- industrial applications
- computer vision
- pattern recognition
- textual entailment
- cloud computing
- chemical process
- semantic knowledge
- engineering problems
- semantic similarity
- sensor web
- semantic web
- learning algorithm
- source code
- reinforcement learning
- knowledge representation
- explanation based learning
- industrial engineering
- feature selection
- technology transfer
- semantic technologies
- information extraction
- inductive learning
- semantic network
- learning systems
- semantic representation
- natural language processing
- decision trees
- co occurrence
- big data
- knowledge acquisition