PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks

Zifeng Yuan; Huey Eng Chua; Sourav S. Bhowmick; Zekun Ye; Byron Koon Kau Choi; Wook Shin Han

doi:10.1145/3514221.3520157

PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks

Zifeng Yuan, Huey Eng Chua, Sourav S. Bhowmick, Zekun Ye, Byron Koon Kau Choi, Wook Shin Han

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

Visual graph query interfaces (VQI) facilitate non-programmers to query graph data effortlessly. The construction of these interfaces for large networks is typically not data-driven. That is, they do not exploit the underlying networks to automatically generate the contents of various panels of a VQI. Such data-driven construction has several benefits such as facilitating efficient top-down and bottom-up query formulation and portability of an interface across different application domains and sources. In this demonstration, we present a novel plug-and-play visual subgraph query interface construction engine called PLAYPEN that can be plugged on any large network G with a plug specification b to automatically generate the VQI for G that satisfies b by populating various components of the interface.

Original language	English
Title of host publication	SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data
Publisher	Association for Computing Machinery (ACM)
Pages	2381-2384
Number of pages	4
ISBN (Print)	9781450392495
DOIs	https://doi.org/10.1145/3514221.3520157
Publication status	Published - 11 Jun 2022
Event	ACM SIGMOD International Conference on Management of Data, SIGMOD 2022 - Virtual, Online, Philadelphia, United States Duration: 12 Jun 2022 → 17 Jun 2022 https://2022.sigmod.org/ https://dl.acm.org/doi/proceedings/10.1145/3514221

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)	0730-8078

Conference

Conference	ACM SIGMOD International Conference on Management of Data, SIGMOD 2022
Country/Territory	United States
City	Philadelphia
Period	12/06/22 → 17/06/22
Internet address	https://2022.sigmod.org/ https://dl.acm.org/doi/proceedings/10.1145/3514221

Scopus Subject Areas

Software
Information Systems

User-Defined Keywords

cognitive load
data-driven
graph search
plug-and-play
visual query interface

Access to Document

10.1145/3514221.3520157

Cite this

Yuan, Z., Chua, H. E., Bhowmick, S. S., Ye, Z., Choi, B. K. K., & Han, W. S. (2022). PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks. In SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data (pp. 2381-2384). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery (ACM). https://doi.org/10.1145/3514221.3520157

Yuan, Zifeng ; Chua, Huey Eng ; Bhowmick, Sourav S. et al. / PLAYPEN : Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks. SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery (ACM), 2022. pp. 2381-2384 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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abstract = "Visual graph query interfaces (VQI) facilitate non-programmers to query graph data effortlessly. The construction of these interfaces for large networks is typically not data-driven. That is, they do not exploit the underlying networks to automatically generate the contents of various panels of a VQI. Such data-driven construction has several benefits such as facilitating efficient top-down and bottom-up query formulation and portability of an interface across different application domains and sources. In this demonstration, we present a novel plug-and-play visual subgraph query interface construction engine called PLAYPEN that can be plugged on any large network G with a plug specification b to automatically generate the VQI for G that satisfies b by populating various components of the interface.",

keywords = "cognitive load, data-driven, graph search, plug-and-play, visual query interface",

author = "Zifeng Yuan and Chua, {Huey Eng} and Bhowmick, {Sourav S.} and Zekun Ye and Choi, {Byron Koon Kau} and Han, {Wook Shin}",

note = "Funding Information: Acknowledgements. The first four authors were supported by the AcRF Tier-2 Grant MOE2015-T2-1-040. Byron Choi is supported by HKRGC GRF 12201119 and 12201518. Wook-Shin Han was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2021R1A2B5B03001551). Publisher Copyright: {\textcopyright} 2022 ACM.; ACM SIGMOD International Conference on Management of Data, SIGMOD 2022 ; Conference date: 12-06-2022 Through 17-06-2022",

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Yuan, Z, Chua, HE, Bhowmick, SS, Ye, Z, Choi, BKK & Han, WS 2022, PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks. in SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, Association for Computing Machinery (ACM), pp. 2381-2384, ACM SIGMOD International Conference on Management of Data, SIGMOD 2022, Philadelphia, Pennsylvania, United States, 12/06/22. https://doi.org/10.1145/3514221.3520157

PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks. / Yuan, Zifeng; Chua, Huey Eng; Bhowmick, Sourav S. et al.
SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery (ACM), 2022. p. 2381-2384 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Choi, Byron Koon Kau

AU - Han, Wook Shin

N1 - Funding Information: Acknowledgements. The first four authors were supported by the AcRF Tier-2 Grant MOE2015-T2-1-040. Byron Choi is supported by HKRGC GRF 12201119 and 12201518. Wook-Shin Han was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2021R1A2B5B03001551). Publisher Copyright: © 2022 ACM.

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N2 - Visual graph query interfaces (VQI) facilitate non-programmers to query graph data effortlessly. The construction of these interfaces for large networks is typically not data-driven. That is, they do not exploit the underlying networks to automatically generate the contents of various panels of a VQI. Such data-driven construction has several benefits such as facilitating efficient top-down and bottom-up query formulation and portability of an interface across different application domains and sources. In this demonstration, we present a novel plug-and-play visual subgraph query interface construction engine called PLAYPEN that can be plugged on any large network G with a plug specification b to automatically generate the VQI for G that satisfies b by populating various components of the interface.

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Yuan Z, Chua HE, Bhowmick SS, Ye Z, Choi BKK, Han WS. PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks. In SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery (ACM). 2022. p. 2381-2384. (Proceedings of the ACM SIGMOD International Conference on Management of Data). doi: 10.1145/3514221.3520157

PLAYPEN: Plug-and-Play Visual Graph Query Interfaces for Top-down and Bottom-Up Search on Large Networks

Abstract

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Conference

Scopus Subject Areas

User-Defined Keywords

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