A hybrid approach to developing a cyber security ontology

James Geller, Soon Ae Chun, Arwa Wali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The process of developing an ontology cannot be fully automated at the current state-of-the-art. However, leaving the tedious, time-consuming and error-prone task of ontology development entirely to humans has problems of its own, including limited staff budgets and semantic disagreements between experts. Thus, a hybrid computer/expert approach is advocated. The research challenge is how to minimize and optimally organize the task of the expert(s) while maximally leveraging the power of the computer and of existing computer-readable documents. The purpose of this paper is two-fold. First we present such a hybrid approach by describing a knowledge acquisition tool that we have developed. This tool makes use of an existing Bootstrap Ontology and proposes likely locations of concepts and semantic relationships, based on a text book, to a domain expert who can decide on them. The tool is attempting to minimize the number of interactions. Secondly we are proposing the notion of an augmented ontology specifically for pedagogical use. The application domain of this work is cyber-security education, but the ontology development methods are applicable to any educational topic.

Original languageEnglish (US)
Title of host publicationDATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and Applications
EditorsMarkus Helfert, Andreas Holzinger, Orlando Belo, Chiara Francalanci
PublisherSciTePress
Pages377-384
Number of pages8
ISBN (Electronic)9789897580352
DOIs
StatePublished - 2014
Event3rd International Conference on Data Management Technologies and Applications, DATA 2014 - Vienna, Austria
Duration: Aug 29 2014Aug 31 2014

Publication series

NameDATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and Applications

Other

Other3rd International Conference on Data Management Technologies and Applications, DATA 2014
Country/TerritoryAustria
CityVienna
Period8/29/148/31/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Keywords

  • Augmented Ontology
  • Cyber Security Ontology; Security Knowledge Acquisition Tool
  • Index Terms
  • Security Learning Objects
  • Textbook

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