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,...

Полное описание

Библиографические подробности
Главные авторы: Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha
Другие авторы: School of Computer Science and Engineering
Формат: Journal Article
Язык:English
Опубликовано: 2017
Предметы:
Online-ссылка:https://hdl.handle.net/10356/83505
http://hdl.handle.net/10220/42600