A Review on Ontology Learning Approaches of Creating a Topic Map of Cybercrime Research
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2018, Vol 18, Issue 0
Abstract
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.
Authors and Affiliations
Kijung Lee
Keywords
Related Articles
- EP ID EP649750
- DOI 10.24297/ijct.v18i0.8063
- Views 184
- Downloads 0
Traveling Salesman Problem: A Case Study
In this paper assignment based integer linear formulation presented for solving traveling salesman problem. Unfortunately, the assignment model can lead to infeasible solutions. Infeasibility removes by introducing addit...
Spline Computation for Solving Magnetohidrodynamics Free Convection Flow
In this paper, we construct numerical algorithms for solving Magnetohidrodynamics(MHD) free convection flow rate whichhas been discussed in detail. It is observed that, for a nonlinear system of differential equation, th...
Data Mining using Artificial Neural Network POS_NEG Rules
Diabetes patients are increasing in number so it is necessary to predict , treat and diagnose the disease. Data Mining can help to provide knowledge about this disease. The knowledge extracted using Data Mining can help...
ENHANCED CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT
Cloud computing is one of the latest and upcoming paradigm that offers huge benefits such as reduced time to market, unlimited computing power and flexible computing capabilities. It is a model that provides an on-demand...
On multi-objective linear programming problems with inexact rough interval-fuzzy coefficients
This paper deals with a multi-objective linear programming problem with an inexact rough interval fuzzy coefficients IRFMOLP. This problem is considered by incorporating an inexact rough interval fuzzy number in both the...