@inproceedings{a71bae0e598a439ba3e0f5b3369cfdd9,
title = "FGreat: Focused graph query autocompletion",
abstract = "Composing queries is evidently a tedious task. This is particularly true of graph queries as they are typically complex and prone to errors. This is compounded by the fact that graph schemas can be missing or too loose to be helpful for query formulation. Graph Query AutoCompletion (gQAC) alleviates users from the potentially painstaking task of graph query formulation. This demonstration presents an interactive visual Focused GRaph quEry AutocompleTion framework, called FGreat. Its novelty relies on the user focus for gQAC, which is a subgraph of the current query that a user is focusing on. FGreat automatically computes a focus and completes the query at the focus, as opposed to an arbitrary query subgraph. This demonstration presents two complementary approaches to compute the user focus for different circumstances. It computes the focus from either (i) the sequence of edges that a user recently added to his/her query, or (ii) the position of the mouse cursor, if it is available. We demonstrate that the user focus enhances both the effectiveness and efficiency of graph query autocompletion.",
keywords = "Database usability, Graph autocompletion, Graphs, Subgraph query",
author = "Nathan Ng and Peipei Yi and Zhiwei Zhang and Byron Choi and Bhowmick, {Sourav S.} and Jianliang Xu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 35th IEEE International Conference on Data Engineering, ICDE 2019 ; Conference date: 08-04-2019 Through 11-04-2019",
year = "2019",
month = apr,
doi = "10.1109/ICDE.2019.00213",
language = "English",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE Computer Society",
pages = "1956--1959",
booktitle = "Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019",
address = "United States",
}