Extracting ontology concept based on genetic algorithm and seed concept
Wang Nianbin · Systems engineering and electronics · 2010
Ontology learning aims at the integration of a multitude of disciplines such as ontology engineering techniques and machine learning techniques to construct the ontology(semi) automatically.Based on the study of the problems in Chinese ontology learning,a new extracting algorithm for ontology concept is presented based on genetic algorithm and seed concept from non-structure data.The current methods of extracting the ontology concept from non-structure data are introduced.Based on genetic algorithm and seed concept,a new extracting ontology concept algorithm is presented based on extracting ontology concept methods from non-structure data.Experiment results show that this algorithm achieves good results in a specified domain environment.