Query Graph Visualizer: A Collaborative Querying System

Lin Fu; Dion Hoe Lian Goh; Schubert Shou Boon Foo; Yohan Supangat

Query Graph Visualizer: A Collaborative Querying System

Lin Fu, Dion Hoe Lian Goh, Schubert Shou Boon Foo, Yohan Supangat

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to accomplish collaborative querying is to cluster related queries which are stored in query logs and use the related queries as recommendations to users. Here, the kernel step is to identify the similarity between queries. This paper describes a system that supports collaborative querying among its users. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph approach to visualize the query recommendations.

Original language	English
Title of host publication	Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings
Editors	Anatoly E. Doroshenko, Terry A. Halpin, Stephen W. Liddle, Heinrich C. Mayr
Publisher	Gesellschaft fur Informatik (GI)
Pages	235-240
Number of pages	6
ISBN (Electronic)	3885793776
Publication status	Published - 2004
Externally published	Yes
Event	3rd International Conference on Information Systems Technology and its Applications, ISTA 2004 - Salt Lake City, United States Duration: Jun 15 2004 → Jun 17 2004

Publication series

Name	Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Volume	P-48
ISSN (Print)	1617-5468
ISSN (Electronic)	2944-7682

Conference

Conference	3rd International Conference on Information Systems Technology and its Applications, ISTA 2004
Country/Territory	United States
City	Salt Lake City
Period	6/15/04 → 6/17/04

Bibliographical note

Publisher Copyright:
© 2004 Gesellschaft fur Informatik (GI). All rights reserved.

ASJC Scopus Subject Areas

Computer Science Applications

Cite this

Fu, L., Goh, D. H. L., Foo, S. S. B., & Supangat, Y. (2004). Query Graph Visualizer: A Collaborative Querying System. In A. E. Doroshenko, T. A. Halpin, S. W. Liddle, & H. C. Mayr (Eds.), Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings (pp. 235-240). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-48). Gesellschaft fur Informatik (GI).

Fu, Lin ; Goh, Dion Hoe Lian ; Foo, Schubert Shou Boon et al. / Query Graph Visualizer : A Collaborative Querying System. Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings. editor / Anatoly E. Doroshenko ; Terry A. Halpin ; Stephen W. Liddle ; Heinrich C. Mayr. Gesellschaft fur Informatik (GI), 2004. pp. 235-240 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

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title = "Query Graph Visualizer: A Collaborative Querying System",

abstract = "Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to accomplish collaborative querying is to cluster related queries which are stored in query logs and use the related queries as recommendations to users. Here, the kernel step is to identify the similarity between queries. This paper describes a system that supports collaborative querying among its users. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph approach to visualize the query recommendations.",

author = "Lin Fu and Goh, {Dion Hoe Lian} and Foo, {Schubert Shou Boon} and Yohan Supangat",

note = "Publisher Copyright: {\textcopyright} 2004 Gesellschaft fur Informatik (GI). All rights reserved.; 3rd International Conference on Information Systems Technology and its Applications, ISTA 2004 ; Conference date: 15-06-2004 Through 17-06-2004",

year = "2004",

language = "English",

series = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",

publisher = "Gesellschaft fur Informatik (GI)",

pages = "235--240",

editor = "Doroshenko, {Anatoly E.} and Halpin, {Terry A.} and Liddle, {Stephen W.} and Mayr, {Heinrich C.}",

booktitle = "Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings",

}

Fu, L, Goh, DHL, Foo, SSB & Supangat, Y 2004, Query Graph Visualizer: A Collaborative Querying System. in AE Doroshenko, TA Halpin, SW Liddle & HC Mayr (eds), Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), vol. P-48, Gesellschaft fur Informatik (GI), pp. 235-240, 3rd International Conference on Information Systems Technology and its Applications, ISTA 2004, Salt Lake City, United States, 6/15/04.

Query Graph Visualizer: A Collaborative Querying System. / Fu, Lin; Goh, Dion Hoe Lian; Foo, Schubert Shou Boon et al.
Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings. ed. / Anatoly E. Doroshenko; Terry A. Halpin; Stephen W. Liddle; Heinrich C. Mayr. Gesellschaft fur Informatik (GI), 2004. p. 235-240 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-48).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Query Graph Visualizer

T2 - 3rd International Conference on Information Systems Technology and its Applications, ISTA 2004

AU - Fu, Lin

AU - Goh, Dion Hoe Lian

AU - Foo, Schubert Shou Boon

AU - Supangat, Yohan

PY - 2004

Y1 - 2004

N2 - Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to accomplish collaborative querying is to cluster related queries which are stored in query logs and use the related queries as recommendations to users. Here, the kernel step is to identify the similarity between queries. This paper describes a system that supports collaborative querying among its users. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph approach to visualize the query recommendations.

AB - Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to accomplish collaborative querying is to cluster related queries which are stored in query logs and use the related queries as recommendations to users. Here, the kernel step is to identify the similarity between queries. This paper describes a system that supports collaborative querying among its users. The system operates by clustering and recommending related queries to users using a hybrid query similarity identification approach. The system employs a graph approach to visualize the query recommendations.

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M3 - Conference contribution

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T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

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BT - Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings

A2 - Doroshenko, Anatoly E.

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Fu L, Goh DHL, Foo SSB, Supangat Y. Query Graph Visualizer: A Collaborative Querying System. In Doroshenko AE, Halpin TA, Liddle SW, Mayr HC, editors, Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings. Gesellschaft fur Informatik (GI). 2004. p. 235-240. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

Query Graph Visualizer: A Collaborative Querying System

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

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Cite this