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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Bibliografski detalji
Glavni autori: Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha
Daljnji autori: School of Computer Science and Engineering
Format: Journal Article
Jezik:English
Izdano: 2017
Teme:
Online pristup:https://hdl.handle.net/10356/83505
http://hdl.handle.net/10220/42600