Elena Sarkisova

Master Student (1st year)

E-mail: sarkisova.ln@gmail.com

Semantic Web, Distributed Information Retrieval, Ontology-based Information Retrieval


Volgograd State Technical University, Volgograd, Russia. Master student


Volgograd State Technical University, Volgograd, Russia BS in Computer Science, 2016, Chair of Software Engineering The subject of bachelor's degree work is “Development of web application for annotating the information resources for thematic information retrieval”. Learning courses: Software Design, Databases Design, Knowledge Based Systems, Software Reliability and Quality, Software Modeling and Analysis

  • May, 2016. VSTU review competition of scientific works.
  • 3-6 April 2014. IV Open student team championship of the Volga region for sports programming

C/C++, C#, ASP.NET MVC, Java, JavaScript, HTML,CSS, OWL DL (Protege, StarDog), Git, Mercurial, SQL, SPARQL, MySQL, PostgeSQL

  • Russian — native language,
  • English — intermediate
2019 (1)
  • Anton Anikin, Dmitry Litovkin, Elena Sarkisova, Tatyana Petrova, Marina Kultsova (mar 2019) Ontology-based approach to decision-making support of conceptual domain models creating and using in learning and scientific research. IOP Conference Series: Materials Science and Engineering 483 pp. 012074. IOP Publishing. doi web bibtex
    • Abstract
2018 (1)
  • D. Litovkin, A. Anikin, M. Kultsova, E. Sarkisova (July 2018) Representation of WHAT-Knowledge Structures as Ontology Design Patterns. In 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA). pp. 1-6. doi bibtex
2017 (1)
  • A. Anikin, D. Litovkin, M. Kultsova, E. Sarkisova, T. Petrova (2017) Ontology visualization: Approaches and software tools for visual representation of large ontologies in learning. Communications in Computer and Information Science 754 pp. 133-149. Springer Verlag. doi web bibtex
    • Abstract
2016 (1)
  • Anton Anikin, Dmitry Litovkin, Marina Kultsova, Elena Sarkisova (2016) Ontology-Based Collaborative Development of Domain Information Space for Learning and Scientific Research. In Knowledge Engineering and Semantic Web: 7th International Conference, KESW 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings. pp. 301–315. Springer International Publishing. Cham. doi web bibtex