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Components of knowledge management. Adapted from [1]. 

Components of knowledge management. Adapted from [1]. 

Contexts in source publication

Context 1
... intelligence is a set of methods and models from the computer science research field that support flexible modelling of concepts and methods for logical reasoning while computer aided design includes methods and models to model geometry and product structures. La Rocca [1] further puts knowledge base engineering in the context of knowledge management saying that KBE is a subset of knowledge engineering which is a sub set of knowledge management, see Figure 1. ...
Context 2
... in the connectivistic view on knowledge is that learning is a network formation process [2]. In the knowledge technologies as seen in Figure 1 this is realized through community of practices, systems for computer-supported collaborative work, ontologies and knowledge webs. Interestingly, these technologies are not considered to be a part of knowledge based engineering system. ...
Context 3
... DSL is a text-based programming language that comes with an in-house developed integrated development environment (IDE). The DSL captures not only the concepts and logics of the products but also the geometrical models which makes the DSL a KBE-system as seen in the frame of reference, Figure 1. ...
Context 4
... seen in Figure 1 knowledge management and knowledge engineering includes networking activities, which is in line with the connectivistic principle that learning is a network formation activity. Since KBE systems are results of these activities inherently they will form networks too. ...
Context 5
... visualize these networks, it is possible to apply graph theory. The visualization and reflection upon such graphs guides the continual refinement and knowledge development as marked in the bottom left arrow in Figure 1. ...
Context 6
... Viewing knowledge development as a continuously ongoing process can be enabled through extensive versioning control of the knowledge. It would change the picture in Figure 1 so that there would be no barriers between knowledge management, knowledge engineering and knowledge based systems, they would be continuously sub processes of the organizational learning. 7) The visualisation of network and context through graphs makes it literally possible to see the connections and patterns of the knowledge. ...


Leading technologies are very attractive for students preparing their theses as the completion of their studies. Such an orientation of students connected with professional experiences seems to be a crucial motivator in the research in the management and business areas where these technologies condition the development of professional activities. The goal of the paper is the analysis of students’ thesis topics defended in the last 10 years in business informatics and computer science in two selected universities in Poland. Our study relies on a detailed review and analysis of qualitative data, obtained from a literature review and multi-case-study research. In the case of the artificial intelligence domain, we have identified six areas of research, namely: general AI, machine learning (ML), natural language processing (NLP), artificial neural networks (ANNs), expert systems, and hybrids. In the case of the knowledge management domain, we have recognized eleven areas of research, regarding the following sectors: e-government, technology, space exploration, social media, manufacturing, healthcare, finance, entertainment, education, e-commerce, and business. Future research will be directed toward extending the scope by including other regions and universities as well as identifying and analyzing students’ motivational factors, associated with research pro jects and higher education.