Extraction of Non-hierarchical Relations from Domain Texts

Ontology of a domain mainly consists of concepts, hierarchical relations, and non-hierarchical relations. Even though there exists a variety of methods for extracting concepts and hierarchical relations, very little concentration is on identification and labeling of non-hierarchical relations. In this paper, we present an unsupervised technique for the identification of non-hierarchical relations between the concepts using VF*ICF metric and log-likelihood ratios. The proposed approach is experimented with the electronic voting domain texts and is also compared with one of the existing approaches