**5. Acknowledgements**

The system KnowCat and Semantic KnowCat prototype were partially financed by the Spanish Ministry of Science and Technology, project codes TIN2004-03/40 and TSI2005- 08225-C07-06. From 2003 to 2007, the system KnowCat was exploited within the frame of four teaching innovation projects (TIP) financed by Universidad Autónoma de Madrid. In the scope of these TIPs, the undergraduate fellow student Javier Hidalgo has collaborated especially on the work shown here. The current research has been partially financed by Spanish National Plan of R+D, project code TIN2008-02081/TIN, and by the CAM (Autonomous Community of Madrid), project code S2009/TIC-1650.

#### **6. References**

114 New Research on Knowledge Management Technology

corresponds to a node. Like in previous diagrams, the lighter colours represent a greater

In the graph we can see that the level of similarity among the WWV of the nodes that deal with the same topics are high compared with the ones obtained where comparing the node vectors on different topics. This means -using this technique- that it is possible to identify nodes that deal with similar contents and to distinguish them from others on different

Semantic KnowCat (SKC) is a prototype developed on KnowCat to investigate solutions to information overload in ICT-based systems, using knowledge management systems as a model. SKC uses for this purpose some hidden aspects of such systems, as the residual energy of their activity, and properties of both the elements and the activities

The process of the digestion of knowledge proposed seems to be able to specify latent knowledge in a knowledge management field, which may be useful to facilitate the management task fulfilled by the system, the interaction among its entities and users' access to the contents that have been processed, among other interesting applications (Moreno-Llorena, 2008; Moreno-Llorena & Alamán, 2005; Moreno-Llorena et al., 2009a, 2009b). The enrichment of the proposed content seems to provide a very powerful support for automatic exchange of knowledge among knowledge management systems opening a way to the development of the latter on the semantic Web field

However, the threshold found in the levels of similarity to consider the similar knowledge items is low and higher values are unlikely to appear. In almost every case taken into account most of the items having similarity over 0.3 are related to each other for their contents and the ones that aren't have minor levels, although some objectively related do not reach that value. In some cases the threshold is even lower, between 0.2 and 0.3. It would be highly desirable that the level of similarity would mark more clearly the space between items with different contents and would clarify the similarity between those that

With all this, it is considered highly interesting to continue advancing in an open line of work, paying special attention to specification and contrast of the level of similarity, and searching integration of content analysis proposed with the one for interaction of users (Moreno-Llorena et al., 2009a) and with automatic interaction among nodes (Moreno-

The system KnowCat and Semantic KnowCat prototype were partially financed by the Spanish Ministry of Science and Technology, project codes TIN2004-03/40 and TSI2005- 08225-C07-06. From 2003 to 2007, the system KnowCat was exploited within the frame of four teaching innovation projects (TIP) financed by Universidad Autónoma de Madrid. In the scope of these TIPs, the undergraduate fellow student Javier Hidalgo has collaborated especially on the work shown here. The current research has been partially financed by

similarity.

subjects.

involved.

(Berners-Lee, 2000).

have similar contents.

Llorena et al., 2009b).

**5. Acknowledgements** 

**4. Conclusions and future projects** 


**8** 

*Romania* 

**A Knowledge Management Framework as** 

**Professional Risk Assessment in SMEs** 

Sebastian Marius Rosu1 and George Dragoi2

**Knowledge Bases Development Support to** 

*1Special Telecommunications Service & PREMINV Research Centre, Bucharest* 

*2PREMINV Research Centre, Bucharest & FILS, University POLITEHNICA of Bucharest* 

The market situation of the European countries is the following: 99% of companies in the EU are small and medium sized enterprises (SMEs) – companies with a maximum of 250 employees and a maximal turnover of € 50 million. In the European Union (Europe have 23 million SMEs and 41 000 large companies) SMEs employ more than 65% of all employees. During past years, SMEs have created 80 % of the new jobs in the EU (IP/08/1003, Brussels, 25th June 2008). SMEs meet the multiple economic, technical and social functions, such as: Generate the greater part of GDP in each country, usually between 55% - 95%;

 Produce a large percentage of the applicable technical innovations in the economy; Have the highest market dynamism in the economy, a situation evidenced by the evolution of their number, the volume of turnover and size of employment, higher

Produce products and services at lower costs than large companies, the main factor

 Show high flexibility and adaptability to market requirements and changes favored by smaller size, faster decision-making process, specifically the entrepreneur and his direct

The risk evaluation sustains SMEs in the uncertainties elimination in the development

Estimation, evaluation and control of the occupational risk represent prerequisites for grounding and for a continual support of the decision that has been previously taken on

However, in the last time, a lot of research in the field of knowledge management is dedicated to large companies or international concerns and the small and medium-sized

occupational safety in a working system (Vasilescu et al., 2008; Tint et al., 2009).

 Are the seeds for future large firms, particularly in new areas of the economy, etc. The SMEs research development activities, products development, new technologies implementation (see figure 1) presupposes knowledge and assumption of multiple risks. As a result of a new product development paradigm, there is a greater need for software tools

**1. Introduction**

to risk estimation.

Provide jobs for majority of employment;

causing this difference are lower costs;

strategy and management policies (see figure 2).

involvement in ongoing activities;

sensitivity to large companies;

Noy, N. F., Musen, M. A. (2002). Evaluating *Ontology-Mapping Tools: Requeriments and Experience*. In EKAW02 Workshop (WS1) Sep 2002.

GNU Wget (2011). Available from http://www.gnu.org/software/wget
