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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Detalhes bibliográficos
Principais autores: Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha
Outros Autores: School of Computer Science and Engineering
Formato: Journal Article
Idioma:English
Publicado em: 2017
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/83505
http://hdl.handle.net/10220/42600