Chinese Domain Ontology Learning Based on P-Sets and Formal Concept Analysis
Xinyi Peng · Journal of Jilin University(Science Edition) · 2013
We provided a Chinese domain ontology learning method based on P-sets and formal concept analysis which learns from unstructured Chinese texts,extracts the formal background with the P-sets.Then,it uses the Godin algorithm to construct a concept lattice based on the formal background and transforms the concept lattice into the OWL Chinese ontology with the mapping rules that we have defined.At last,we learned from the domain about biology and water via the method we proposed and got the Chinese domain ontology.The results show that the method can solve the problems of time-consuming and energy-wasting.In addition,the ontology we got is a formal ontology,so it has more advantages in sharing and reusing.