@inproceedings{97f7cc26ce1b45cd91716634bc1e8e9c,
title = "A hybrid approach to developing a cyber security ontology",
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.",
keywords = "Augmented Ontology, Cyber Security Ontology; Security Knowledge Acquisition Tool, Index Terms, Security Learning Objects, Textbook",
author = "James Geller and {Ae Chun}, Soon and Arwa Wali",
note = "Funding Information: Both authors acknowledge the support of the DFG funded SFB (No. 378): “Resource Adaptive Cognitive Processes.” 1 Department of Computational Linguistics, Universit{\"a}t des Saarlandes, Saarb{\"u}cken, Germany. 2 To whom all correspondence should be addressed. email: {crocker, thorsten}@coli.uni-sb.de.; 3rd International Conference on Data Management Technologies and Applications, DATA 2014 ; Conference date: 29-08-2014 Through 31-08-2014",
year = "2014",
doi = "10.5220/0005111503770384",
language = "English (US)",
series = "DATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and Applications",
publisher = "SciTePress",
pages = "377--384",
editor = "Markus Helfert and Andreas Holzinger and Orlando Belo and Chiara Francalanci",
booktitle = "DATA 2014 - Proceedings of 3rd International Conference on Data Management Technologies and Applications",
}