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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sg-ntu-dr.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 |
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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 |
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]. |
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 |
format |
Conference or Workshop Item |
author |
Fu, Lin Goh, Dion Hoe-Lian Foo, Schubert |
author_sort |
Fu, Lin |
title |
CQE : a collaborative querying environment |
title_short |
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_sort |
cqe : a collaborative querying environment |
publishDate |
2010 |
url |
https://hdl.handle.net/10356/93760 http://hdl.handle.net/10220/6195 |
_version_ |
1681058096607133696 |