AutoG: a visual query autocompletion framework for graph databases
Composing queries is evidently a tedious task. This is particularly true of graph queries as they are typically complex and prone to errors, compounded by the fact that graph schemas can be missing or too loose to be helpful for query formulation. Despite the great success of query formulation aids,...
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Main Authors: | Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2017
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/83505 http://hdl.handle.net/10220/42600 |
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Institution: | Nanyang Technological University |
Language: | English |
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