Artificial Intelligence and Decision Making
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Artificial Intelligence and Decision Making:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Artificial Intelligence and Decision Making, 2019, Issue 1, Pages 27–38
DOI: https://doi.org/10.14357/20718594190103
(Mi iipr159)
 

This article is cited in 1 scientific paper (total in 1 paper)

Knowledge representation and acquision

Method for collaborative visual creation of a knowledge graph

D. V. Kudryavtseva, A. M. Beglera, T. A. Gavrilovaa, I. A. Leshchevaa, M. V. Kubelskiya, O. N. Tushkanovabc

a Graduate School of Management, St. Petersburg State University, St. Petersburg, Russia
b St. Petersburg Institute for Informatics and Automation of RAS, St. Petersburg, Russia
c InfoWings, St. Petersburg, Russia
Full-text PDF (448 kB) Citations (1)
Abstract: The paper proposes a method for creating a knowledge graph. The method is focused on the visualization techniques and group work. Necessity of the new method appeared during the project with an automotive company, which needed systematization, integration and re-use of knowledge about the assembly units of various cars within the company. Mind-maps and spreadsheets has been used during conceptualization, formalization, and implementation stages for the knowledge graph development as well as communications with experts. The need for active involvement of experts in the creation of the knowledge graph determines the scope of the method, since they and their colleagues will use the system in the future (internal customers). The created knowledge graph has a complex structure of properties associated with one class and its subclasses, while there is a little number of ontology classes. The proposed method helped to create a pilot knowledge graph, which includes more than 50 assembly units and about 400 properties.
Keywords: knowledge graph; ontology; ontology engineering; knowledge graph development, visualization techniques, collaborative development.
Funding agency Grant number
Russian Foundation for Basic Research 17-07-00228
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. V. Kudryavtsev, A. M. Begler, T. A. Gavrilova, I. A. Leshcheva, M. V. Kubelskiy, O. N. Tushkanova, “Method for collaborative visual creation of a knowledge graph”, Artificial Intelligence and Decision Making, 2019, no. 1, 27–38
Citation in format AMSBIB
\Bibitem{KudBegGav19}
\by D.~V.~Kudryavtsev, A.~M.~Begler, T.~A.~Gavrilova, I.~A.~Leshcheva, M.~V.~Kubelskiy, O.~N.~Tushkanova
\paper Method for collaborative visual creation of a knowledge graph
\jour Artificial Intelligence and Decision Making
\yr 2019
\issue 1
\pages 27--38
\mathnet{http://mi.mathnet.ru/iipr159}
\crossref{https://doi.org/10.14357/20718594190103}
\elib{https://elibrary.ru/item.asp?id=37179701}
Linking options:
  • https://www.mathnet.ru/eng/iipr159
  • https://www.mathnet.ru/eng/iipr/y2019/i1/p27
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:20
    Full-text PDF :3
    References:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024