CQE : a collaborative querying environment

Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In our previous work, a Query Graph Visualizer (QGV) was developed for collaborative querying [2, 3]. In this pap...

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Bibliographic Details
Main Authors: Fu, Lin, Goh, Dion Hoe-Lian, Foo, Schubert
Other Authors: Wee Kim Wee School of Communication and Information
Format: Conference Paper
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/93760
http://hdl.handle.net/10220/6195
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author Fu, Lin
Goh, Dion Hoe-Lian
Foo, Schubert
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Fu, Lin
Goh, Dion Hoe-Lian
Foo, Schubert
author_sort Fu, Lin
collection NTU
description Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In our previous work, a Query Graph Visualizer (QGV) was developed for collaborative querying [2, 3]. In this paper, we report a collaborative querying environment (CQE) developed by incorporating the QGV into the existing OPAC system at Nanyang Technological University (NTU), Singapore. Figure 1 shows the CQE. The system shows recommended queries next to the search results list. Users can click on the recommended queries to carry out further rounds of searches. Further, users can trigger the QGV to explore the relationship between the recommended queries. More information on the QGV can be found in [2].
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spelling ntu-10356/937602020-04-27T10:05:33Z CQE : a collaborative querying environment Fu, Lin Goh, Dion Hoe-Lian Foo, Schubert Wee Kim Wee School of Communication and Information Digital Libraries, 2005. JCDL '05. Proceedings of the 5th ACM/IEEE-CS Joint Conference. DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Collaborative querying seeks to help users formulate queries by sharing expert knowledge or other users’ search experiences. In our previous work, a Query Graph Visualizer (QGV) was developed for collaborative querying [2, 3]. In this paper, we report a collaborative querying environment (CQE) developed by incorporating the QGV into the existing OPAC system at Nanyang Technological University (NTU), Singapore. Figure 1 shows the CQE. The system shows recommended queries next to the search results list. Users can click on the recommended queries to carry out further rounds of searches. Further, users can trigger the QGV to explore the relationship between the recommended queries. More information on the QGV can be found in [2]. Published version 2010-03-02T08:45:26Z 2019-12-06T18:45:01Z 2010-03-02T08:45:26Z 2019-12-06T18:45:01Z 2005 2005 Conference Paper Fu, L., Goh, D.H., & Foo, S. (2005). CQE: a collaborative querying environment. Proceedings of the 5th ACM+IEEE Joint Conference on Digital Libraries JCDL 2005, (June 7-11, Denver, Colorado, USA), 378. https://hdl.handle.net/10356/93760 http://hdl.handle.net/10220/6195 10.1145/1065385.1065481 en 2 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Fu, Lin
Goh, Dion Hoe-Lian
Foo, Schubert
CQE : a collaborative querying environment
title CQE : a collaborative querying environment
title_full CQE : a collaborative querying environment
title_fullStr CQE : a collaborative querying environment
title_full_unstemmed CQE : a collaborative querying environment
title_short CQE : a collaborative querying environment
title_sort cqe a collaborative querying environment
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
url https://hdl.handle.net/10356/93760
http://hdl.handle.net/10220/6195
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