Semi-automatic Domain Ontology Construction from Spoken Corpus in Tunisian Dialect: Railway Request Information

In this paper, we present a hybrid method for semi-automatic building of domain ontology from spoken dialogue corpus in Tunisian Dialect for the railway request information domain. The proposed method is based on a statistical method for term and concept extraction and a linguistic method for semantic relation extraction. This method consists of three fundamental phases, namely the corpus construction and treatment, the ontology construction and the ontology evaluation. The proposed method is implemented through the ABDO system to generate the RIO ontology that contains 14 concepts, 25 semantic relations and 387 concepts instances. The generated domain ontology is used to semantically label Tunisian dialect utterances in spoken dialogue. Keywords—concept, ontology, semantic relation, spoken dialogue, term, Tunisian dialect.