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bibtex [2019/10/21 07:34] anton |
bibtex [2019/12/01 12:31] anton |
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| author = "Oleg Sychev and Anton Anikin and Artem Prokudin", | author = "Oleg Sychev and Anton Anikin and Artem Prokudin", | ||
| thanks = {rfbr-18-07-00032} | thanks = {rfbr-18-07-00032} | ||
| + | } | ||
| + | |||
| + | @InProceedings{10.1007/978-981-15-0637-6_31, | ||
| + | author="Litovkin, Dmitry | ||
| + | and Anikin, Anton | ||
| + | and Kultsova, Marina", | ||
| + | editor="Yang, Xin-She | ||
| + | and Sherratt, Simon | ||
| + | and Dey, Nilanjan | ||
| + | and Joshi, Amit", | ||
| + | title="Interactive Visualization of Ontology-Based Conceptual Domain Models in Learning and Scientific Research", | ||
| + | booktitle="Fourth International Congress on Information and Communication Technology", | ||
| + | year="2020", | ||
| + | publisher="Springer Singapore", | ||
| + | address="Singapore", | ||
| + | pages="365--374", | ||
| + | abstract="The paper presents an approach to knowledge transferring and sharing on the base of the semantic link network (SLN) representing expert knowledge in the explicit form. To provide an efficient SLN understanding, it is represented with a geometric graph which can be interactively visualized using a combination of the appropriate visualization methods. The coupling of these methods allows getting a different level of details of the SLN visualization in accordance with the user needs. The proposed approach is planned being implemented in the knowledge management system for learning and scientific research.", | ||
| + | isbn="978-981-15-0637-6", | ||
| + | thanks = {rfbr-18-07-00032, rfbr-18-47-340014} | ||
| } | } | ||
