Abstract:

In order to improve the efficiency of building concept lattice in Chinese domain ontology learning based on formal concept analysis, we applied the concept lattice reduction theory to the process of building concept lattice. The main idea is that we reduce the objects and attributes of the obtained formal context which is based on semantic dependency analysis, adopte the Godin algorithm to construct concept lattice based on formal context reduced, and repaire the concept lattice with the reparation theories. The article takes the asclepiadaceae plants ontology construction as an example to verify this method. The experiment results show that the efficiency of concept lattice construction increase by 70%. It improves the efficiency of ontology construction.

Key words: formal concept analysis, concept lattice reduction, semantic dependency analysis, domain ontology learning