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bibtex [2019/07/20 17:33]
anton
bibtex [2019/12/04 11:07] (current)
anton
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 +@article{SYCHEV2020,​
 +title = "​Automatic grading and hinting in open-ended text questions",​
 +journal = "​Cognitive Systems Research",​
 +volume = "​59",​
 +pages = "264 - 272",
 +year = "​2020",​
 +issn = "​1389-0417",​
 +doi = "​https://​doi.org/​10.1016/​j.cogsys.2019.09.025",​
 +url = "​http://​www.sciencedirect.com/​science/​article/​pii/​S1389041719304978",​
 +author = "Oleg Sychev and Anton Anikin and Artem Prokudin",​
 +thanks = {rfbr-18-07-00032}
 +}
 +
 +@InProceedings{10.1007/​978-981-15-0637-6_31,​
 +doi="​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}
 +}
 +
 +@InProceedings{10.1007/​978-3-030-29750-3_33,​
 +doi="​10.1007/​978-3-030-29750-3_33",​
 +author="​Kultsova,​ Marina
 +and Potseluico, Anastasiya
 +and Dvoryankin, Alexander",​
 +editor="​Kravets,​ Alla G.
 +and Groumpos, Peter P.
 +and Shcherbakov,​ Maxim
 +and Kultsova, Marina",​
 +title="​Ontology Based Personalization of Mobile Interfaces for People with Special Needs",​
 +booktitle="​Creativity in Intelligent Technologies and Data Science",​
 +year="​2019",​
 +publisher="​Springer International Publishing",​
 +address="​Cham",​
 +pages="​422--433",​
 +abstract="​The paper is devoted to a problem of interface personification for people with special needs on the base of information about their behavior during interaction with mobile applications. This work evolves our previous researches on the development of adaptive user interfaces. Much attention in this paper was given to the investigation of existing approaches to collecting and analyzing the information about user behavior and interaction context data as well as interface adaptation recommendations. The improved interface adaptation mechanism was developed and described based on the ontological representation of the interface patterns and knowledge about users and their interaction with a mobile application. The set of adaptation rules was developed and implemented in the ontology knowledge base. In the paper, we described the improved ontology model and some examples of ontological representation of interface patterns.",​
 +isbn="​978-3-030-29750-3",​
 +thanks = {rfbr-18-07-00032}
 +}
 +
 +
 +@InProceedings{10.1007/​978-3-030-29750-3_7,​
 +doi="​10.1007/​978-3-030-29750-3_7",​
 +author="​Litovkin,​ Dmitry
 +and Anikin, Anton
 +and Kultsova, Marina",​
 +editor="​Kravets,​ Alla G.
 +and Groumpos, Peter P.
 +and Shcherbakov,​ Maxim
 +and Kultsova, Marina",​
 +title="​Semantic Zooming Approach to Semantic Link Network Visualization",​
 +booktitle="​Creativity in Intelligent Technologies and Data Science",​
 +year="​2019",​
 +publisher="​Springer International Publishing",​
 +address="​Cham",​
 +pages="​81--95",​
 +abstract="​In the paper, we described a semantic zooming approach to the visualization of special kind structures - semantic link networks (SLN), represented as a visual graph. The proposed approach allows decreasing semantic noise in SLN overview and navigation and also simplifies the process of understanding the domain studied with SLN by means of semantic zooming. We proposed priori importance levels of SLN items and semantic zooming scale to visualize the SLN with different details level. We designed an interactive SLN visualization process including the following SLN transformations:​ filtering SLN items, context collapse and expansion for SLN item, and changing the details in the visualized object representation in the geometric SLN graph. The transformation algorithms were developed, and also examples of SNL semantic zooming were described in details in the paper.",​
 +isbn="​978-3-030-29750-3",​
 +thanks = {rfbr-18-07-00032,​ rfbr-18-47-340014}
 +}
 +
 +
 @incollection{Anikin2019_2,​ @incollection{Anikin2019_2,​
   doi = {10.1007/​978-3-030-25719-4_4},​   doi = {10.1007/​978-3-030-25719-4_4},​