KNOWLEDGE MANAGEMENT IN HIGHER EDUCATION – AN ONTOLOGICAL APPROACH IN COLLABORATIVE ENVIRONMENTS

The paper presents an ontology-based knowledge management system developed for a Romanian university. The university used a classic Management Information System (MIS), which was the starting point for developing the knowledge management system. The developed knowledge management system has a general ontology, containing terms which are valid for a public institution, and specific ontology for two process categories, didactic and research process. The ontology is implemented using Protege. The results are very encouraging and suggest several future developments.business intelligence, knowledge management, ontology, university

Multi-Level Model

Is an original paper, which contains a hierarchical model with three levels, for determining the linearized non-homogeneous and homogeneous credibility premiums at company level, at sector level and at contract level, founded on the relevant covariance relations between the risk premium, the observations and the weighted averages. We give a rather explicit description of the input data for the multi- level hierarchical model used, only to show that in practical situations, there will always be enough data to apply credibility theory to a real insurance portfolio.hierarchical structure with three levels, observable variables with associated weights, the credibility results

Evaluation of the Project Management Competences Based on the Semantic Networks

The paper presents the testing and evaluation facilities of the SinPers system. The SinPers is a web based learning environment in project management, capable of building and conducting a complete and personalized training cycle, from the definition of the learning objectives to the assessment of the learning results for each learner. The testing and evaluation facilities of SinPers system are based on the ontological approach. The educational ontology is mapped on a semantic network. Further, the semantic network is projected into a concept space graph. The semantic computability of the concept space graph is used to design the tests. The paper focuses on the applicability of the system in the certification, for the knowledge assessment, related to each element of competence. The semantic computability is used for differentiating between different certification levels.testing, assessment, ontology, semantic networks, certification.

QUALITY OF THE ACADEMIC PROGRAMMES

The main issue addressed by this paper refers to the quality of training and education on project management – is it different than the perception of quality of training and education in other fields, if so, where, in what aspects, who should be responsible for it, should it only be addressed as input based – provider, trainer, curriculum, or also output based – trainee, etc. A survey was made and the main results are presented.Quality, Project management training and education

FAMILY-OWNED BUSINESS IN ROMANIA

An average annual rate of growth of 6.92% during 2002-2008 has ensured the gradual decrease in the gap between Romania and other EU member states. Key economic indicators are shown in Table 1. The main growth factor for this period has been the domestic demand. Having grown at a steady pace for several years, EU-27 value added generally peaked in the first quarter of 2008. Output fell by 16.6 % for industry to reach a low in the second quarter of 2009 (with modest signs of a recovery thereafter in the second half of 2009, (Eurostat, 2010). The European economy is in the midst of the deepest recession since the 1930s, with real GDP projected to shrink by some 4% in 2009, the sharpest contraction in the history of the European Union. Although signs of improvement have appeared recently, recovery remains uncertain and fragile (European Communities, 2009)."

Riots, coups and civil war : revisiting the greed and grievance debate

The most influential recent work on the determinants of civil wars found the factors associated with the grievance motivation to be largely irrelevant. Our paper subjects the results of this empirical work to further scrutiny by embedding the study of civil war in a more general analysis of varieties of violent contestation of political power within the borders of the state. Such an approach, we argue, will have important implications for how we think theoretically about the occurrence of domestic war as well as how we specify our empirical tests. In the empirical model, the manifestation of domestic conflict range from low intensity violence and coups to civil war. Our multinomial specification of domestic conflict supports the hypothesis that diversity accentuates distributional conflict and thus increases the risk of civil war. We also find that democracies may be more efficient than autocracies in reducing the risk of civil war.Post Conflict Reconstruction,Population Policies,Social Conflict and Violence,Peace&Peacekeeping,Hazard Risk Management

Project resources leveling using software agents

Different approaches to project planning and scheduling have been developed. The Operational Research (OR) approach provides two major planning techniques: CPM and PERT. Artificial Intelligence (AI) initially promoted the automatic planner concept. In order to plan a project, the automatic application of predefined operators is required. However, most domains are not so easily formalized in the form of predefined planning operators. The paper focus is on the agent-based approach to project planning and scheduling, especially in Resource Leveling issues. The authors have developed and implemented the ResourceLeveler system, an agent-based model for leveling project resources. The objective of Resource Leveler is to find a scheduling of resources similar to the optimal theoretical solution which takes into consideration all constraints stemming from the relationships between projects, activity calendars, resource calendars, resource allotment to the activities and resource availability. ResourceLeveler was developed in C# as a plug-in for Microsoft Project.project management, agent-based models, artificial intelligence, project resource leveling

Models of Non-Life Insurance Mathematics

In this communication we will discuss two regression credibility models from Non – Life Insurance Mathematics that can be solved by means of matrix theory. In the first regression credibility model, starting from a well-known representation formula of the inverse for a special class of matrices a risk premium will be calculated for a contract with risk parameter q. In the next regression credibility model, we will obtain a credibility solution in the form of a linear combination of the individual estimate (based on the data of a particular state) and the collective estimate (based on aggregate USA data). Mathematics Subject Classification: 62P05.regression credibility theory, the risk parameter of the policy, the risk premium, the credibility calculations