Polaris: a system for query, analysis, and visualization of multidimensional relational databases

Abstract

In the last several years, large multi-dimensional

VisiNav: A system for visual search and navigation on web data

“…Faceted browsing [38], while less expressive in terms of the complexity of queries, has become popular and is used on ecommerce sites such as Ebay.com. Polaris [33] provides complex query and aggregation operations, however, operates over relational data and thus requires a priori knowledge about the schema used. Cammarano et al [5] describe a method to match data with visualisation specifications based on schema matching algorithms.…”

Graph-Based Relational Data Visualization

“…Their system allows a schema-based data cube navigation similar to the schema of Mansmann and Scholl [13], with the difference that dimensions with too many values are presented according to hierarchies organized by ranges of values. Selected portions of the data are visualized in a table layout inspired by Polaris [6], and the user's navigation (zooming into the table data) is stored in the Zoom Tree, thus forming a navigation history.…”

“…One of the most referenced studies that aim at visually exploring databases is Polaris [6], [7]. It follows the well-known data cube approach, which is broadly used in a number of decision support systems in businesses and organizations, mainly in the form of OLAP (on-line analytical processing) services [8].…”

Visualization of Heterogeneous Data

“…This approach for formalizing a visualization is based on the work of Bertin [9] and others [28,34,38]. Formally, a visualization is specified by a set of triples…”

“…For example, in Polaris [38] users can specify the visualization of a data warehouse. In Haystack [23] users can specify the display of personal information (stored as RDF data) using RDF.…”