Towards automatic wayang ontology construction using relation extraction from free text

Abstract

This paper reports on our work to automatically construct and populate an ontology of wayang (Indonesian shadow puppet) mythology from free text using relation extraction and relation clustering. A reference ontology is used to evaluate the generated ontology. The reference ontology contains concepts and properties within the wayang character domain. We examined the influence of corpus data variations, threshold value variations in the relation clustering process, and the usage of entity pairs or entity pair types during the feature extraction stages. The constructed ontology is examined using three evaluation methods, i.e. cluster purity (CP), instance knowledge (IK), and relation concept (RC). Based on the evaluation results, the proposed method generates the best ontology when using a consolidated corpus, the threshold value in relation clustering is 1, and entity pairs are used during feature extraction.