Abstract
A new method based on feature vectors of semantic and context features to verify whether a pair of concepts has the hyponymy relation was represented. Based on word formation, the co-occurrence of concepts, the number of feature words and the location of concepts, feature vectors of hyponymy were built. Support vector machines (SVM) were used to train and predict data, and the relation extraction of ontology concepts was finally achieved.
| Original language | English |
|---|---|
| Pages (from-to) | 351-354 |
| Number of pages | 4 |
| Journal | Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) |
| Volume | 44 |
| Issue number | SUPPL.2 |
| Publication status | Published - 2013 |
Keywords
- Feature vector
- Hyponymy
- Ontology learning
- SVM