Paper Info
Title
A Bootstrapping Approach for Developing a Cyber-security Ontology Using Textbook Index Terms.
Abstract
Developing a domain ontology with concepts and relationships between them is a challenge, since knowledge engineering is a labor intensive process that can be a bottleneck and is often not scalable. Developing a cyber-security ontology is no exception. A security ontology can improve search for security learning resources that are scattered in different locations in different formats, since it can provide a common controlled vocabulary to annotate the resources with consistent semantics. In this paper, we present a bootstrapping method for developing a cyber-security ontology using both a security textbook index that provides a list of terms in the security domain and an existing security ontology as a scaffold. The bootstrapping approach automatically extracts the textbook index terms (concepts), derives a relationship to a concept in the security ontology for each and classifies them into the existing security ontology. The bootstrapping approach relies on the exact and approximate similarity matching of concepts as well as the category information obtained from external sources such as Wikipedia. The results show feasibility of our method to develop a more comprehensive and scalable cyber-security ontology with rich concepts from a textbook index. We provide criteria used to select a scaffold ontology among existing ontologies. The current approach can be improved by considering synonyms, deep searching in Wikipedia categories, and domain expert validation.
Year
DOI
Venue
2013
10.1109/ARES.2013.75
ARES
Keywords
Field
DocType
learning (artificial intelligence),ontologies (artificial intelligence),pattern matching,security of data,vocabulary,Wikipedia categories,bootstrapping approach,category information,common controlled vocabulary,concept approximate similarity matching,concept exact similarity matching,cyber-security ontology,domain expert validation,domain ontology,knowledge engineering,scaffold ontology,security learning resources,synonyms,textbook index terms,cyber-security,index terms,learning objects,security ontology,textbook
Data mining,Computer science,Computer security,Natural language processing,Artificial intelligence,Ontology (information science),Ontology alignment,Ontology-based data integration,Process ontology,Information retrieval,Ontology Inference Layer,Suggested Upper Merged Ontology,Upper ontology,Ontology components
Conference
Citations 
PageRank 
References 
3
0.41
12
Authors
3
Name
Order
Citations
PageRank
Arwa Wali130.75
Soon Ae Chun2893100.67
James Geller3335.08