DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs.
Carsten Felix DraschnerClaus StadlerFarshad Bakhshandegan MoghaddamJens LehmannHajira JabeenPublished in: CIKM (2021)
Keyphrases
- machine learning
- scalable distributed
- knowledge representation
- knowledge base
- knowledge acquisition
- maximum likelihood
- learning systems
- knowledge based systems
- knowledge discovery
- pattern recognition
- feature selection
- machine learning algorithms
- databases
- past experience
- knowledge sharing
- machine learning methods
- background knowledge
- artificial intelligence
- text classification
- prior knowledge
- data model
- text mining
- supervised learning
- information extraction
- decision trees
- domain knowledge
- main memory
- relational data
- graph matching
- file system
- knowledge engineering
- graph databases
- explanation based learning
- data mining techniques
- global knowledge
- database