| A Flexible Framework to Experiment with Ontology Learning Techniques [18]
|
Semi-automated method using NLP |
Requires an annotated corpus for entity recognition |
| A Hybrid Approach for Taxonomy Learning from Text [19]
|
Linguistic patterns associated with statistical reasoning |
Based on statistical reasoning |
| Advancing Topic Ontology Learning through Term Extraction [20]
|
Semi-automated based on node extraction |
Does not make use of collaborative databases for discovery, validation and classification of entities |
| Automated Ontology Learning and Validation Using Hypothesis Testing [21]
|
Hypothesis-driven |
Hypotheses are compared against indicators retrieved from the Web |
| OntoLearn, a methodology for automatic learning of domain ontologies [22]
|
Automated extraction |
Error rates related to the database, language dependent |
| Text2Onto - A Framework for Ontology Learning and Data-Driven Change Discovery [23]
|
Probabilistic Ontology Models and identification of change in data patterns |
Does not require a pre-built ontology |
