TY - JOUR
T1 - Development and construction of knowledge graph
AU - Li, Tao
AU - Wang, Cichen
AU - Li, Huakang
N1 - Publisher Copyright:
© 2017, Editorial Department of Journal of Nanjing University of Science and Technology. All right reserved.
PY - 2017/2/28
Y1 - 2017/2/28
N2 - Knowledge graph, as an intelligent and efficient way for knowledge organization, enables users to quickly and accurately query the information they need. In this paper, we provide a comprehensive survey on the development and construction of knowledge graph by reviewing and summarizing recent advances in the research and practice of knowledge graph systems in the relevant literature. In particular, our introduction includes the concept origin, development, and eventual formation of the knowledge graph, various data sources for the knowledge graph, the ontology construction and the entity extraction, and the process of knowledge mining, updating, and maintenance. Finally, we discuss the technical challenges, development trends, and future research directions of knowledge graph. In summary, the theory and the associated techniques of knowledge graph is of great research significance. However, there are still many technical challenges, which need further investigation, in building and using the knowledge graph.
AB - Knowledge graph, as an intelligent and efficient way for knowledge organization, enables users to quickly and accurately query the information they need. In this paper, we provide a comprehensive survey on the development and construction of knowledge graph by reviewing and summarizing recent advances in the research and practice of knowledge graph systems in the relevant literature. In particular, our introduction includes the concept origin, development, and eventual formation of the knowledge graph, various data sources for the knowledge graph, the ontology construction and the entity extraction, and the process of knowledge mining, updating, and maintenance. Finally, we discuss the technical challenges, development trends, and future research directions of knowledge graph. In summary, the theory and the associated techniques of knowledge graph is of great research significance. However, there are still many technical challenges, which need further investigation, in building and using the knowledge graph.
KW - Construction methods
KW - Entity
KW - Extended application
KW - Knowledge graph
KW - Knowledge mining
UR - http://www.scopus.com/inward/record.url?scp=85016035064&partnerID=8YFLogxK
U2 - 10.14177/j.cnki.32-1397n.2017.41.01.004
DO - 10.14177/j.cnki.32-1397n.2017.41.01.004
M3 - Article
AN - SCOPUS:85016035064
SN - 1005-9830
VL - 41
SP - 22
EP - 34
JO - Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
JF - Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
IS - 1
ER -