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--- bibtex [2019/08/31 09:13]
anton
+++ bibtex [2021/02/18 19:25]
anton
@@ Line 1: / Line 1: @@
+@article{Litovkin_2021,
+	doi = {10.1088/1742-6596/1801/1/012009},
+	url = {https://doi.org/10.1088/1742-6596/1801/1/012009},
+	year = 2021,
+	month = {feb},
+	publisher = {{IOP} Publishing},
+	volume = {1801},
+	number = {1},
+	pages = {012009},
+	author = {D V Litovkin and A V Anikin and O A Sychev and T Petrova},
+	title = {{ORM} Diagram as an Intermediate Model for {OWL} Ontology Engineering: Prot{\'{e}}g{\'{e}} {ORM} Plugin Implementation},
+	journal = {Journal of Physics: Conference Series},
+	abstract = {OWL2, a widely-used ontology-representation language, is poorly perceived by humans because OWL2 statements have a low level of abstraction. To solve this issue, various OWL2 ontology editors are used, which allow to group statements and represent them using some visual notation. ORM-diagram is a good candidate for an intermediate model for authoring and understanding of OWL2-ontology as Object-Role Modelling notation supports visually distinguishable constructs, has the high expressive capabilities, and implements the node-link paradigm and the attribute-free approach A Protégé plugin allowing to create an ORM2-diagram using the live error checking approach was implemented. The plugin allows us to form a valid object-oriented diagram model in computer memory using a widely known ontology authoring tool Protégé.},
+thanks = {rfbr-18-07-00032, 20-07-00764}
+}
+@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
@@ Line 20: / Line 70: @@
 @InProceedings{10.1007/978-3-030-29750-3_7,
+doi="10.1007/978-3-030-29750-3_7",
 author="Litovkin, Dmitry
 and Anikin, Anton