Abstract-This correspondence presents a novel hierarchical clustering approach for knowledge document self-organization, particularly for patent analysis. Current keyword-based methodologies for document content management tend to be inconsistent and ineffective when partial meanings of the technical content are used for cluster analysis. Thus, a new methodology to automatically interpret and cluster knowledge documents using an ontology schema is presented. Moreover, a fuzzy logic control approach is used to match suitable document cluster(s) for given patents based on their derived ontological semantic webs. Finally, three case studies are used to test the approach. The first test case analyzed and clustered 100 patents for chemical and mechanical polishing retrieved from the World Intellectual Property Organization (WIPO). The second test case analyzed and clustered 100 patent news articles retrieved from online Web sites. The third case analyzed and clustered 100 patents for radio-frequency identification retrieved from WIPO. The results show that the fuzzy ontology-based document clustering approach outperforms the K-means approach in precision, recall, F-measure, and Shannon's entropy.

No abstract

No abstract

The Systems Security Engineering Capability Maturity Model (SSE-CMM) is a tool for appraising and improving an organization's security engineering practices, and for augmenting existing assurance methods. The SSE-CMM was developed through a government-industry collaboration involving the nation's leading providers of security systems, products, and services. It does not specify how a particular process should be performed, but identifies practices generally accepted by industry. The SSE-CMM can also be used to examine the practice of security engineering within the context of systems engineering.This paper describes the principles upon which the SSE-CMM is based, the structure of the model, and its use in appraisals. Issues in model development, application, and adoption are presented.

No abstract