SIMOnt: A Security Information Management Ontology Framework

被引：0
|
作者：
Abulaish, Muhammad [1 ]
Nabi, Syed Irfan [1 ,3 ]
Alghathbar, Khaled [1 ]
Chikh, Azeddine [2 ]
机构：
[1] King Saud Univ, Ctr Excellence Informat Assurance, Riyadh, Saudi Arabia
[2] King Saud Univ, Coll Comp Sci & Informat Syst, Riyadh, Saudi Arabia
[3] Inst Business Administration, Fac Comp Sci, Karachi, Pakistan
来源：
SECURE AND TRUST COMPUTING, DATA MANAGEMENT, AND APPLICATIONS | 2011年 / 186卷
关键词：
Information security; Knowledge management; Ontology engineering; Ontology learning; Natural language processing;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we have proposed the design of a Security Information Management Ontology (SIMOnto) framework, which utilizes natural language processing and statistical analysis to mine an exhaustive list of concepts and their relationships in an automatic way. Concepts are extracted using TF-IDF and LSA techniques whereas, relations between them are mined using semantic and co-occurrence based analyses. The mined concepts and relations are presented to domain experts for validation before creation of ontology using Protege.
引用
收藏
页码：201 / +
页数：2
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