A Semantic Framework for Extracting Taxonomic

N. A.

doi:10.34028/iajit

Article Details

A Semantic Framework for Extracting Taxonomic

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 3, pp.45-57

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389342

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

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.

Article Details

A Semantic Framework for Extracting Taxonomic

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 3, pp.45-57

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389342

pISSN:

2309-4524

DOI:

10.34028/iajit

Taxonomic relation

ontology construction

word sense disambiguation

knowledge acquisition

Issues

Article Details

A Semantic Framework for Extracting Taxonomic

Authors: N. A.

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 3, pp.45-57

Document Type: Article

Publication Date: 1/2020

Document Language: English

Document ID (Org No.): 2001389342

pISSN: 2309-4524

DOI: 10.34028/iajit

Taxonomic relation

ontology construction

word sense disambiguation

knowledge acquisition

Issues

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 3, pp.45-57

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389342

pISSN:

2309-4524

DOI:

10.34028/iajit