QUBLE: Blending visual subgraph query formulation with query processing on large networks

Ho Hoang Hung; Sourav S. Bhowmick; Ba Quan Truong; Koon Kau CHOI; Shuigeng Zhou

doi:10.1145/2463676.2463681

QUBLE: Blending visual subgraph query formulation with query processing on large networks

Ho Hoang Hung, Sourav S. Bhowmick, Ba Quan Truong, Koon Kau CHOI, Shuigeng Zhou

Department of Computer Science

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

9 Citations (Scopus)

Abstract

In a previous paper, we laid out the vision of a novel graph query processing paradigm where instead of processing a visual query graph after its construction, it interleaves visual query formulation and processing by exploiting the latency offered by the GUI

Original language	English
Title of host publication	SIGMOD 2013 - International Conference on Management of Data
Pages	1097-1100
Number of pages	4
DOIs	https://doi.org/10.1145/2463676.2463681
Publication status	Published - 2013
Event	2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013 - New York, NY, United States Duration: 22 Jun 2013 → 27 Jun 2013

Publication series

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

Conference

Conference	2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013
Country/Territory	United States
City	New York, NY
Period	22/06/13 → 27/06/13

Scopus Subject Areas

Software
Information Systems

User-Defined Keywords

Action-aware indexes
Action-aware query processing
Blending
Frequent fragments
Large networks
Query formulation
Small infrequent fragments
Visual graph querying

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10.1145/2463676.2463681

Cite this

@inproceedings{ceb7f13c9f0d4342b8e79fbdb0405542,

title = "QUBLE: Blending visual subgraph query formulation with query processing on large networks",

abstract = "In a previous paper, we laid out the vision of a novel graph query processing paradigm where instead of processing a visual query graph after its construction, it interleaves visual query formulation and processing by exploiting the latency offered by the GUI",

keywords = "Action-aware indexes, Action-aware query processing, Blending, Frequent fragments, Large networks, Query formulation, Small infrequent fragments, Visual graph querying",

author = "Hung, {Ho Hoang} and Bhowmick, {Sourav S.} and Truong, {Ba Quan} and CHOI, {Koon Kau} and Shuigeng Zhou",

year = "2013",

doi = "10.1145/2463676.2463681",

language = "English",

isbn = "9781450320375",

series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",

pages = "1097--1100",

booktitle = "SIGMOD 2013 - International Conference on Management of Data",

}

Hung, HH, Bhowmick, SS, Truong, BQ, CHOI, KK & Zhou, S 2013, QUBLE: Blending visual subgraph query formulation with query processing on large networks. in SIGMOD 2013 - International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1097-1100, 2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013, New York, NY, United States, 22/06/13. https://doi.org/10.1145/2463676.2463681

QUBLE: Blending visual subgraph query formulation with query processing on large networks. / Hung, Ho Hoang; Bhowmick, Sourav S.; Truong, Ba Quan et al.
SIGMOD 2013 - International Conference on Management of Data. 2013. p. 1097-1100 (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 - Hung, Ho Hoang

AU - Bhowmick, Sourav S.

AU - Truong, Ba Quan

AU - CHOI, Koon Kau

AU - Zhou, Shuigeng

PY - 2013

Y1 - 2013

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KW - Action-aware query processing

KW - Blending

KW - Frequent fragments

KW - Large networks

KW - Query formulation

KW - Small infrequent fragments

KW - Visual graph querying

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DO - 10.1145/2463676.2463681

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QUBLE: Blending visual subgraph query formulation with query processing on large networks

Abstract

Publication series

Conference

Scopus Subject Areas

User-Defined Keywords

Access to Document

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