This article presents a new centrality measure. The presented measure was compared with state-of-the-art measures and proved to combines two features, low computational complexity and high precision of calculations. The measure has been mathematical analyzed, and then, experiments on real-life graphs were conducted. The mathematical analysis showed many essential properties of the proposed measure. Statistical analysis of the conducted experiment showed that measure has precision the same as state-of-the-art measures with much lower computational complexity.

The paper is devoted to presentation of Unified Process Metamodel as a tool to describe both structural and behavioral aspects of processes identified in a real world. The complexity of the description of the reality urges the use of sophisticated tool for modeling. Therefore Association-Oriented Database Metamodel was used to prepare database model that comply with the needs of proposed system. Since presentation of complete implementation of the Unified Process Metamodel would be rather wide, the paper presents and discusses only a minor section of the system, namely Transformation module that is used to change flowing resource set into new flowing resource.

Following paper presents main concepts of Semantic Knowledge Base in particular linguistic module. The main assumption is to develop solution that would be easily adoptable by various languages. The module design will be presented in Association Oriented Model to maintain inner compatibility of the Knowledgebase.