A Review on Ontology Learning Approaches of Creating a Topic Map of Cybercrime Research

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

View Publication Info
 
 
Field Value
 
Title A Review on Ontology Learning Approaches of Creating a Topic Map of Cybercrime Research
 
Creator Lee, Kijung
 
Subject cybercrime
ontology learning
topic maps
text minning
 
Description Conducting an academic research requires getting a firm grasp of ongoing research issues as well as locating research materials effectively. Often research in different fields on a similar topic can assume diverse approaches due to different objectives and research goals in their own fields. Especially in an interdisciplinary research field like cybercrime, many research topics overlap with those of other research fields. Researchers in such a field, therefore, can benefit from understanding the related domains of one’s own research.  Topic maps provide methods for understanding research domain and managing relevant information resources at the same time. In this paper, we review a topic map solution to acquire knowledge structure and to locate information resources effectively. We address current problems of cybercrime research, review previous studies that use automated methods for topic map creation, and examine existing sets of methods for automatically extracting topic map components. Especially, the methods we discuss here are text mining techniques for extracting ontology components, denoted as ontology learning.
 
Publisher KHALSA PUBLICATIONS
 
Date 2019-02-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://rajpub.com/index.php/ijct/article/view/8063
10.24297/ijct.v18i0.8063
 
Source INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol. 18 (2018); 7451-7469
2277-3061
 
Language eng
 
Relation http://rajpub.com/index.php/ijct/article/view/8063/7665
 
Rights Copyright (c) 2019 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library