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Abstract
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.
Highlights
During the last decade, ontologies are largely used in many fields such as: artificial intelligence, information retrieval, semantic Web, Natural Language Processing (NLP), etc
We propose a hybrid method for semiautomatic construction of a domain ontology
The semantic annotation based on the RIO ontology consists of attributing semantic label to each word based on ontology concepts
Summary
Ontologies are largely used in many fields such as: artificial intelligence, information retrieval, semantic Web, Natural Language Processing (NLP), etc. It is necessary to define methods or methodologies to assist this ontology construction process. We propose a hybrid method for semiautomatic construction of a domain ontology. Our method belongs to the learning methodologies. This method is based on a spoken dialogue corpus in Tunisian Dialect for the railway request information domain. This paper is organized as follows: the second section presents the proposed method for building a domain ontology. The third section presents an overview of the “Assistant for Building Domain Ontology” (ABDO) system which allows to generate the RIO ontology.
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