Faceted Browsing for Scalable Information Exploration
In conjunction with VIBEViz, we are working on new user interfaces that present
faceted metadata to make searching and browsing various data sources simpler and more informative. We’re
particularly interested in an approach that works over a large range of display sizes, with a diverse
collection of data domains, over many different sizes of dataset.
FacetLens is a follow-on interface
to prior work on FacetMap and PaperLens. FacetLens is an
appropriate visualization tool for nearly any item/attribute
based dataset expressed as a SQL database. Provided with a
description of the types and locations of item metadata,
FacetLens dynamically generates SQL queries to probe the data
distributions and present them to the user in a data-rich,
animated way. The user can interactively click on values to
apply filter criteria, and can use drag/drop operations to
explore trends. FacetLens scales up to any size display
by revealing progressively more detail as space grows.