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
相关论文
共 50 条
  • [31] Statistics of RDF Store for Querying Knowledge Graphs
    Savnik, Iztok
    Nitta, Kiyoshi
    Skrekovski, Riste
    Augsten, Nikolaus
    FOUNDATIONS OF INFORMATION AND KNOWLEDGE SYSTEMS (FOIKS 2022), 2022, : 93 - 110
  • [32] A knowledge-based approach to querying heterogeneous databases
    Rodríguez, MA
    Varas, M
    FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2002, 2366 : 213 - 222
  • [33] Querying graph databases using context-free grammars
    Medeiros, Ciro M.
    Musicante, Martin A.
    Costa, Umberto S.
    JOURNAL OF COMPUTER LANGUAGES, 2022, 68
  • [34] Modelling and Querying Star and Snowflake Warehouses Using Graph Databases
    Vaisman, Alejandro
    Besteiro, Florencia
    Valverde, Maximiliano
    NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2019, 2019, 1064 : 144 - 152
  • [35] A User Interface for Exploring and Querying Knowledge Graphs
    Vargas, Hernan
    Buil-Aranda, Carlos
    Hogan, Aidan
    Lopez, Claudia
    PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, : 4785 - 4789
  • [36] Querying Fuzzy RDF Knowledge Graphs Data
    Li, Guanfeng
    Li, Weijun
    Wang, Hairong
    2020 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2020,
  • [37] NOUS: Construction and Querying of Dynamic Knowledge Graphs
    Choudhury, Sutanay
    Agarwal, Khushbu
    Purohit, Sumit
    Zhang, Baichuan
    Pirrung, Meg
    Smith, Will
    Thomas, Mathew
    2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017), 2017, : 1563 - 1565
  • [38] Querying Knowledge Graphs by Example Entity Tuples
    Jayaram, Nandish
    Khan, Arijit
    Li, Chengkai
    Yan, Xifeng
    Elmasri, Ramez
    2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2016, : 1494 - 1495
  • [39] CUTE: Querying Knowledge Graphs by Tabular Examples
    Wang, Zichen
    Li, Tian
    Shao, Yingxia
    Cui, Bin
    WEB AND BIG DATA (APWEB-WAIM 2018), PT I, 2018, 10987 : 461 - 465
  • [40] Modeling and Querying Sensor Networks Using Temporal Graph Databases
    Kuijpers, Bart
    Soliani, Valeria
    Vaisman, Alejandro
    NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2022, 2022, 1652 : 222 - 231
12345