Title :
Extraction of Non-hierarchical Relations from Domain Texts
Author :
Punuru, Janardhanan ; Chen, Jianhua
Author_Institution :
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA
fDate :
March 1 2007-April 5 2007
Abstract :
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
Keywords :
data mining; ontologies (artificial intelligence); text analysis; VFICF metric; domain texts; log-likelihood ratios; nonhierarchical relation extraction; nonhierarchical relations; ontology; unsupervised technique; Computational intelligence; Data mining; Electronic voting; Information retrieval; Knowledge management; Labeling; Ontologies; Semantic Web; Taxonomy; Training data;
Conference_Titel :
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0705-2
DOI :
10.1109/CIDM.2007.368908
