A semantic framework for extracting taxonomic relations from text corpus
Joint Authors
Doan, Phuoc Thi Hong
Arch Int, Ngamnij
Arch Int, Somjit
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 3 (31 May. 2020), pp.325-337, 13 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-05-31
Country of Publication
Jordan
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Doan, Phuoc Thi Hong& Arch Int, Ngamnij& Arch Int, Somjit. 2020. A semantic framework for extracting taxonomic relations from text corpus. The International Arab Journal of Information Technology،Vol. 17, no. 3, pp.325-337.
https://search.emarefa.net/detail/BIM-962341
Modern Language Association (MLA)
Doan, Phuoc Thi Hong…[et al.]. A semantic framework for extracting taxonomic relations from text corpus. The International Arab Journal of Information Technology Vol. 17, no. 3 (May. 2020), pp.325-337.
https://search.emarefa.net/detail/BIM-962341
American Medical Association (AMA)
Doan, Phuoc Thi Hong& Arch Int, Ngamnij& Arch Int, Somjit. A semantic framework for extracting taxonomic relations from text corpus. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 3, pp.325-337.
https://search.emarefa.net/detail/BIM-962341
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 335-336
Record ID
BIM-962341