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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書目詳細資料
Main Authors: Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2017
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在線閱讀:https://hdl.handle.net/10356/83505
http://hdl.handle.net/10220/42600
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