Querying in the Age of Graph Databases and Knowledge Graphs

被引：13
|
作者：
Arenas, Marcelo [1 ,2 ]
Gutierrez, Claudio [2 ,3 ]
Sequeda, Juan F. [4 ]
机构：
[1] Univ Catolica, Santiago, Chile
[2] IMFD, Santiago, Chile
[3] Univ Chile, DCC, Santiago, Chile
[4] Dataworld, Austin, TX USA
来源：
SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA | 2021年
关键词：
Graph databases; knowledge graphs; data models; querying; GENERATION; QUERIES; WEB;
D O I：
10.1145/3448016.3457545
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Graphs have become the best way we know of representing knowledge. The computing community has investigated and developed the support for managing graphs by means of digital technology. Graph databases and knowledge graphs surface as the most successful solutions to this program. This tutorial will provide a conceptual map of the data management tasks underlying these developments, paying particular attention to data models and query languages for graphs.
引用
收藏
页码：2821 / 2828
页数：8
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