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,...
Main Authors: | Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha |
---|---|
Outros autores: | School of Computer Science and Engineering |
Formato: | Journal Article |
Idioma: | English |
Publicado: |
2017
|
Subjects: | |
Acceso en liña: | https://hdl.handle.net/10356/83505 http://hdl.handle.net/10220/42600 |
Títulos similares
-
FLAG: towards graph query autocompletion for large graphs
por: Yi, Peipei, et al.
Publicado: (2023) -
Graph Querying Meets HCI: State of the Art and Future Directions
por: Choi, Byron, et al.
Publicado: (2017) -
PICASSO : exploratory search of connected subgraph substructures in graph databases
por: Bhowmick, Sourav Saha, et al.
Publicado: (2019) -
Advanced database query systems : techniques, applications and technologies /
por: Yan, Li, 1964-, et al.
Publicado: (c201) -
STE-based encrypted relational database scheme with reduced leakages
por: SU Yuchen, et al.
Publicado: (2024-04-01)