Method for non-taxonomical relations from domain concepts
Xiang Zhang · Computer Engineering and Applications Journal · 2013
Research on non-taxonomical relations from domain concepts is an important task in ontology learning. This paper presents an acquiring method for non-taxonomical relations of special domain based on unsupervised learning. This method employs association rules to get the concept pairs of special domain, regards the high frequency verbs of the concept pairs as the candidate non-taxonomical relations labels, non-taxonomical relations labels is determined by VF*ICF metrics, use log likeli-hood ratio to assign the non-taxonomical relations labels to corresponding domain concepts pairs. Experimental results demon-strate the increment of the accuracy and completeness of the non-taxonomical relations extraction.