An annotated bibliography of vis and data bases

This repo hosts a live version of the bibliography described in the InfoVis 2020 paper A Structured Review of Data Management Technology for Interactive Visualization and Analysis.

tl;dr

Here's the annotated BibTeX file. If you want to search it interactively, you can use the website.

Annotations

We intend to keep the bibliography annotations lightweight, and limited to the keywords key in the BibTeX entries. We have the following tags:

• implementation-aggregate
• implementation-aqp
• implementation-compression
• implementation-data-parallel
• implementation-db-application
• implementation-index
• implementation-materialized-views
• implementation-mqo
• implementation-progressive
• implementation-provenance
• implementation-spatial-index
• implementation-survey
• implementation-user-modeling
• interaction-aggregate
• interaction-change
• interaction-derive
• interaction-encode
• interaction-filter
• interaction-navigate
• interaction-select

"implementation" tags are (a superset of) the columns we presented in the paper. "interaction" tags correspond to the interactive task that the technique supports. If you're planning on contributing to the bibliography, we ask that you use the tags above.

With that said, if you want to make the case for a new interaction or implementation tag, please create a new issue on the repo!

Please contribute

The bibliography we report on our VIS 2020 paper is consistent with the criteria we chose at the beginning of the project. On the other hand, we think there's a lot of value in keeping this up to date with new work, as well as references we might have missed.

Admin

Licenses

The code in this project is MIT; the bibliography itself is CC BY-SA 4.0.

Acknowledgments

This material is based upon work supported or partially supported by the National Science Foundation under Grant Number 1815238, project titled "III: Small: An end-to-end pipeline for interactive visual analysis of big data", and under Grant Number 1850115, project titled "CRII: CHS: Modeling Analysis Behavior to Support Interactive Exploration of Massive Datasets".

Any opinions, findings, and conclusions or recommendations expressed in this project are those of author(s) and do not necessarily reflect the views of the National Science Foundation.