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.
Highlights
Many human activities in modern society involve use of computer systems
The reviewed factors above about cybercrime research may not be well-practiced in the current environment. That it is a fundamental course of cybercrime research to defining cybercrime related concepts, to track research topics for such concepts, and to organize information resources based on the identified research topics
We reviewed topic map data model and how we can automate some portion of topic map creation using ontology learning approaches
Summary
Many human activities in modern society involve use of computer systems. As a consequence, computer related social phenomena such as cybercrime have increased in the number of cases and diversified in the form of crimes. In the current practice of cybercrime research, the concepts of cybercrime are fuzzy, and research topics are not well-organized. One term, like cybercrime, can be used to mean different concepts. It may mean crime within cyber space in some context, while crime in a real world facilitated through cyber tools in another. Cybercrime research is driven by industry or social issues in relation to cybercrime that emerges every day. The problems of cybercrime research can be summarized to 1) lack of grand knowledge scheme, 2) concept incoherence among different research bodies, and 3) difficulty of identifying research topic distribution and locating relevant information resources. In order to tackle such issues, we consider a topic map approach of knowledge structure representation and information resource organization
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