Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities
Visual query interfaces make it easy for scientists and other nonexpert users to query a data collection. Heretofore, visual query interfaces have been statically-constructed, independent of the data. In this paper we outline a vision of a different kind of interface, one that is built (in part) fro...
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sg-ntu-dr.10356-813912020-03-07T11:48:45Z Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities Bhowmick, Sourav Saha Choi, Byron Dyreson, Curtis School of Computer Science and Engineering Proceedings of the VLDB Endowment Visual interface Graph databases Visual query interfaces make it easy for scientists and other nonexpert users to query a data collection. Heretofore, visual query interfaces have been statically-constructed, independent of the data. In this paper we outline a vision of a different kind of interface, one that is built (in part) from the data. In our data-driven approach, the visual interface is dynamically constructed and maintained. A data-driven approach has many benefits such as reducing the cost in constructing and maintaining an interface, superior support for query formulation, and increased portability of the interface. We focus on graph databases, but our approach is applicable to several other kinds of databases such as JSON and XML. MOE (Min. of Education, S’pore) Published version 2017-07-27T02:48:00Z 2019-12-06T14:29:56Z 2017-07-27T02:48:00Z 2019-12-06T14:29:56Z 2016 Conference Paper Bhowmick, S. S., Choi, B., & Dyreson, C. (2016). Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities. Proceedings of the VLDB Endowment, 9(12), 984-992. 2150-8097 https://hdl.handle.net/10356/81391 http://hdl.handle.net/10220/43456 10.14778/2994509.2994517 en Proceedings of the VLDB Endowment This work is licensed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. For any use beyond those covered by this license, obtain permission by emailing info@vldb.org. 9 p. application/pdf |
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Visual interface Graph databases Bhowmick, Sourav Saha Choi, Byron Dyreson, Curtis Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities |
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Visual query interfaces make it easy for scientists and other nonexpert users to query a data collection. Heretofore, visual query interfaces have been statically-constructed, independent of the data. In this paper we outline a vision of a different kind of interface, one that is built (in part) from the data. In our data-driven approach, the visual interface is dynamically constructed and maintained. A data-driven approach has many benefits such as reducing the cost in constructing and maintaining an interface, superior support for query formulation, and increased portability of the interface. We focus on graph databases, but our approach is applicable to several other kinds of databases such as JSON and XML. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Bhowmick, Sourav Saha Choi, Byron Dyreson, Curtis |
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Conference or Workshop Item |
author |
Bhowmick, Sourav Saha Choi, Byron Dyreson, Curtis |
author_sort |
Bhowmick, Sourav Saha |
title |
Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities |
title_short |
Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities |
title_full |
Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities |
title_fullStr |
Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities |
title_full_unstemmed |
Data-driven Visual Graph Query Interface Construction and Maintenance: Challenges and Opportunities |
title_sort |
data-driven visual graph query interface construction and maintenance: challenges and opportunities |
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2017 |
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https://hdl.handle.net/10356/81391 http://hdl.handle.net/10220/43456 |
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1681034101920890880 |