Visualization of corporate knowledge in organizations creates the
potential for a significant improvement in the quality of decision making andmanagement
efficiency. However, at the moment there is little correlation between the
needs of enterprises and new technologies in the field of knowledge engineering.
Models and methods of knowledge visualization are not yet mature enough to
solve practical problems of information and knowledge management. This is especially
true for knowledge-intensive enterprises and organizations, universities, and
research institutes. The paper presents a new methodology for the knowledge and
competences mapping of the faculty members (or any employees). The methodology
is supported by the ontology-based approach and significantly expands
the traditional knowledge engineering palette of methods. Ontologies as conceptual
models of the subject areas are one of the most promising approaches to the
development of knowledge bases and knowledge graphs. The importance of ontology
engineering is rapidly gaining the new adopters. The proposed methodology
consists of 4 main meta-steps to create a knowledge map:
• Set of ontologies design (ON);
• Knowledge elicitation for ontology population (E);
• Visual knowledge mapping (VI);
• Knowledge map justification and dissemination (D).
The proposed ONE-VID approach was implemented at Graduate School of
Management in Saint-Petersburg State University for the sample of 63 faculty
members. Several types of K-maps were designed and developed – treemaps,
radars, knowledge profiles, etc.
The paper describes the new methodology and illustrates the first results. The
subsequent longitude study plan is considered that will give the possibility to
compare the specific knowledge profiles and gaps as time passes.
Original languageEnglish
Title of host publicationProceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023
EditorsSergey Kovalev, Andrey Sukhanov, Igor Kotenko
PublisherSpringer Nature
ISBN (Electronic)978-3-031-43789-2
ISBN (Print)978-3-031-43788-5
StatePublished - 2023
EventSeventh International Scientific Conference “Intelligent Information Technologies for Industry” - Санкт-Петербург, Санкт-Петербург, Russian Federation
Duration: 25 Sep 202330 Sep 2023
Conference number: 7

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceSeventh International Scientific Conference “Intelligent Information Technologies for Industry”
Abbreviated titleIITI’23
Country/TerritoryRussian Federation
Internet address

ID: 118316477