An Ontology Mapping Approach Based on Classification with Word and Context Similarity

2016 ◽  
Author(s):  
Chao Yin ◽  
Jianhua Gu ◽  
Zhengxiong Hou
Keyword(s):  
Ontology Mapping ◽  
Mapping Approach ◽  
Context Similarity

TOWARDS AN ONTOLOGY MAPPING APPROACH FOR SECURITY MANAGEMENT

2006 ◽  
Vol 15 (06) ◽  
pp. 1071-1090
Author(s):  
ALFRED KA YIU WONG ◽  
NANDAN PARAMESH ◽  
PRADEEP RAY
Keyword(s):  
Security Management ◽  
Semantic Integration ◽  
Ontology Mapping ◽  
Formal Ontology ◽  
Event Correlation ◽  
Semantic Modeling ◽  
Mapping Approach ◽  
Simple Language ◽  
Application Specific ◽  
Different Sources

In the past decade, ontology has been actively researched in various domains. The different ontological tasks range from simple language modeling in the linguistic domain, to semantic integration in the semantic web, and recently to application-specific tasks such as financial fraud management. We follow the trend and attempt to tackle some of the ontological problems in security management. The most complicated problem out of all is the semantic interoperability problem that is evident in the existence of various types of security elements such as IDS, firewall and virus scanner. Another problem is related to the semantic modeling tasks required for autonomous and intelligent reasoning. Semantic modeling of security events is essential for automatic and intelligent event correlation tasks that analyze semantically the different sources of security information to more accurately present the holistic network security status. We present in this paper a novel and formal ontology mapping approach and security ontology for the supporting and possibly resolution of these problems.

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