Abstract Nowadays, ontologies have been exploited in many current applications due to the abilities in representing knowledge and inferring new knowledge. However, the manual construction of ontologies is tedious and time-consuming. Therefore, the automated ontology construction from text has been investigated. The extraction of taxonomic relations between concepts is a crucial step in constructing domain ontologies. To obtain taxonomic relations from a text corpus, especially when the data is deficient, the approach of using the web as a source of collective knowledge (a.k.a web-based approach) is usually applied. The important challenge of this approach is how to collect relevant knowledge from a large amount of web pages. To overcome this issue, we propose a framework that combines Word Sense Disambiguation (WSD) and web approach to extract taxonomic relations from a domain-text corpus. This framework consists of two main stages: concept extraction and taxonomic-relation extraction. Concepts acquired from the concept-extraction stage are disambiguated through WSD module and passed to stage of extraction taxonomic relations afterward. To evaluate the efficiency of the proposed framework, we conduct experiments on datasets about two domains of tourism and sport. The obtained results show that the proposed method is efficient in corpora which are insufficient or have no training data. Besides, the proposed method outperforms the state of the art method in corpora having high WSD results.

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[40] Zafar B., Qamar U., and Imran A., “A Domain- Independent Hybrid Approach for Automatic Taxonomy Induction,” in Proceedings of the 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, Guangzhou, pp. 372-375, 2016. A Semantic Framework for Extracting Taxonomic Relations from Text Corpus 337 Phuoc Thi Hong Doan received the M.S degree from Hue University of Sciences, Vietnam, in 2004. She is currently a Ph.D student in Department of Computer Science, Faculty of Science, Khon Kaen University, Thailand. Her research interests are data mining, natural language processing and information retrieval. Ngamnij Arch-int received the PhD degree in computer science from Chulalongkorn University, Thailand in 2003. She is currently an associate professor in the Department of Computer Science at Khon Kaen University, Thailand. Her research interests include the semantic web, web services, semantic web services, and heterogeneous information integration. Somjit Arch-int received the PhD degree in computer science from the Asian Institute of Technology, Thailand in 2002. He is currently an associate professor in the Department of Computer Science at Khon Kaen University, Thailand. His previous experiences include the development of several industry systems and consulting activities. His research interests are business component-based software development, objectoriented metrics, ontology-based e-business modeling, knowledge-based representation, semantic information integration, data mining, and semantic Web. He is a member of the IEEE Computer Society.