Ontology-Based Document Profile for Vulnerability Relevancy Analysis

System vulnerability is the common weak point for attacker to break into the system. Patching or reconfiguration is usually slow, and difficult or risky to system stability. Our research defines a framework for vulnerability prioritization based on relevancy calculated from online information. In this paper, the idea of subcontext and the Ontology-based Document Profile (ODP) are introduced. ODP is calculated based on how much the document describes each subcontext of the interested topic. The ODP represents a document in term of vector of subcontext. We also compare ODP to traditional document vector using vector support machine classification. The ODP will be used to represent individual document in the vulnerability relevancy framework. Key-Words: subcontext, web document classification, vulnerability relevancy analysis, CVE, risk assessment