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,...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu, Jianliang, Yi, Peipei, Choi, Byron, Bhowmick, Sourav Saha
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/83505
http://hdl.handle.net/10220/42600
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items