Abstract
The main aim of this paper is to develop some methods and technologies of information support for university scientific knowledge management. It examines the concept of knowledge management and life-cycle processes of university scientific knowledge. On-To-Knowledge methodology is used as the basis for the university knowledge management. Text Mining and Semantic Web technologies are used to develop the ontological information model and to process information resources. Some models and methods are explored to carry out the monitoring of university research schools development. The model of a specialist which reflects the level of research activity productivity and overall scientific activity evaluation has been described. The ontology based information model is used to form a specialist’s professional competence in different areas. The approach to university scientific school identification based on the university academic community clustering by their common interests and the concept of university scientific knowledge semantic portal have been presented.
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Zhomartkyzy, G., Balova, T. (2015). The Development of Information Models and Methods of University Scientific Knowledge Management. In: Hammoudi, S., Maciaszek, L., Teniente, E., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2015. Lecture Notes in Business Information Processing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-29133-8_21
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