CheetahKG: A Demonstration for Core-based Top-k Frequent Pattern Discovery on Knowledge Graphs

Tang，Bo1; Zeng，Jian1,2; Tang，Qiandong1; Yang，Chuan1; Shen，Qiaomu1; Ryan，Leong Hou3; Yan，Xiao1; Zeng，Dan1

10.1109/ICDE53745.2022.00281

2022

38th IEEE International Conference on Data Engineering (ICDE)

1084-4627

978-1-6654-0884-4

Proceedings - International Conference on Data Engineering

2022-May

3134-3137

9-12 May 2022

Kuala Lumpur, Malaysia

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

IEEE COMPUTER SOC

Knowledge graphs capture the complex relationships among various entities, which can be found in various real world applications, e.g., Amazon product graph, Freebase, and COVID-19. To facilitate the knowledge graph analytical tasks, a system that supports interactive and efficient query processing is always in demand. In this demonstration, we develop a prototype system, CheetahKG, that embeds with our state-of-the-art query processing engine for the top-k frequent pattern discovery. Such discovered patterns can be used for two purposes, (i) identifying related patterns and (ii) guiding knowledge exploration. In the demonstration sessions, the attendees will be invited to test the efficiency and effectiveness of the query engine and use the discovered patterns to analyze knowledge graphs on CheetahKG.

Frequent pattern matching Knowledge graph

First

English

CPCI-S ; EI

National Key Research and Development Plan of China[2019YFB2102100] ; Guangdong Provincial Key Laboratory[2020B121201001] ; Science and Technology Development Fund Macau SAR[SKLIOTSC-2021-2023] ; Research Grant of University of Macau[MYRG2019-00119-FST]

Computer Science

Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods

WOS:000855078403016

20223512637914

Demonstrations ; Engines ; Pattern matching ; Query processing

Artificial Intelligence:723.4

2-s2.0-85136383241

Scopus

1.Southern University of Science and Technology,Department of Computer Science and Engineering,China
2.Harbin Institute of Technology,China
3.University of Macau,Skl of Internet of Things for Smart City,Dept. of Computer and Information Science,Macao

Tang，Bo,Zeng，Jian,Tang，Qiandong,et al. CheetahKG: A Demonstration for Core-based Top-k Frequent Pattern Discovery on Knowledge Graphs[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:IEEE COMPUTER SOC,2022:3134-3137.