SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT.
Haoyu RenKirill DorofeevDarko AnicicYoussef HammadRoland EcklThomas A. RunklerPublished in: CoRR (2022)
Keyphrases
- machine learning
- computer science
- maximum likelihood
- machine learning methods
- natural language
- engineering design
- sensor web
- management system
- machine learning algorithms
- source code
- pattern recognition
- knowledge acquisition
- artificial intelligence
- machine learning approaches
- semantic knowledge
- industrial engineering
- legacy software
- semantic web
- feature selection
- textual entailment
- knowledge discovery
- natural language processing
- interdisciplinary field
- technology transfer
- ontology driven
- semantic search
- decision trees
- industrial applications
- high level
- big data
- active learning
- text mining
- data mining
- computational intelligence
- support vector machine
- information extraction
- knowledge base
- supervised learning
- learning algorithm
- smart objects
- chemical process
- computer vision
- domain specific
- engineering problems
- domain ontology
- semantic features
- design process
- ubiquitous computing
- semantic information
- learning tasks
- statistical methods
- expert systems