Research overview
18 min readNLP & Knowledge GraphsLiterature review
Ontology forms a key emerging domain with potential for improving the organizing, managing and understanding of information. The paper reviews literature from the past decade on machine learning methods used in ontology engineering and identifies key ML approaches with practical guidelines across domains.
Supervised and unsupervised learning
Support Vector Machines and Decision Trees
Clustering, neural networks and other ML approaches
Ontology engineering and knowledge representation