Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
A method for collaborative visual creation of a knowledge graph. / Kudryavtsev, Dmitry; Gavrilova, Tatiana; Leshcheva, Irina; Begler, Alena; Kubelskiy, Miroslav; Tushkanova, Olga.
GSOM Emerging Markets Conference-2018: Conference Proceedings. St.Petersburg : Издательство Санкт-Петербургского университета, 2018. стр. 98-102.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - A method for collaborative visual creation of a knowledge graph
AU - Kudryavtsev, Dmitry
AU - Gavrilova, Tatiana
AU - Leshcheva, Irina
AU - Begler, Alena
AU - Kubelskiy, Miroslav
AU - Tushkanova, Olga
N1 - Conference code: 5th
PY - 2018
Y1 - 2018
N2 - The paper proposes a method for creating a knowledge graph, with an emphasis on visualization and group work. A knowledge graph is a set of typed entities (with attributes) that are related to each other by relationships. Entity, attribute and relationship types are defined by a scheme called ontology. The proposed method was created within the project with an automotive company, inwhich there was a need for systematization and re-use of knowledge about the assembly units of various cars within the company. The created knowledge graph has a complex structure of properties that are associated with one class and its subclasses, and the number of ontology classes is small. The scope of the method is also determined by the need for active involvement of experts in the creation of the knowledge graph, since they and their colleagues are future users (internal customers) of the system. The proposed method helped to create a pilot knowledge graph, which includes more than 50 assembly units and about400 types of properties
AB - The paper proposes a method for creating a knowledge graph, with an emphasis on visualization and group work. A knowledge graph is a set of typed entities (with attributes) that are related to each other by relationships. Entity, attribute and relationship types are defined by a scheme called ontology. The proposed method was created within the project with an automotive company, inwhich there was a need for systematization and re-use of knowledge about the assembly units of various cars within the company. The created knowledge graph has a complex structure of properties that are associated with one class and its subclasses, and the number of ontology classes is small. The scope of the method is also determined by the need for active involvement of experts in the creation of the knowledge graph, since they and their colleagues are future users (internal customers) of the system. The proposed method helped to create a pilot knowledge graph, which includes more than 50 assembly units and about400 types of properties
KW - knowledge graph
KW - ontology
KW - ontology engineering
KW - РИНЦ
KW - РИНЦ
M3 - Conference contribution
SP - 98
EP - 102
BT - GSOM Emerging Markets Conference-2018
PB - Издательство Санкт-Петербургского университета
CY - St.Petersburg
T2 - GSOM Emerging Markets Conference-2018
Y2 - 4 October 2018 through 6 October 2018
ER -
ID: 36618010