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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2019 Issue 1, Pages 27–38 (Mi iipr159)

This article is cited 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

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.

DOI: 10.14357/20718594190103



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